{"meta":{"query_hash":"e7826b5f99e0","filters":{"venue":"Journal of applied physiology"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/e7826b5f99e0","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+applied+physiology"},"results":[{"id":"W13641149","doi":"10.1152/jappl.1959.14.2.233","title":"Asset location and allocation with multiple risky assets","year":2004,"lang":"en","type":"article","venue":"Journal of applied physiology","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Taxable income; Asset allocation; Actuarial science; Zhàng; Asset (computer security); Bond; Economics; Work (physics); Business; Finance; Accounting; Political science; Computer science; Engineering; Law; Computer security","score_opus":0.007316901072902896,"score_gpt":0.20701641380512537,"score_spread":0.19969951273222247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W13641149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9394828,0.0025984515,0.03731641,0.001901531,0.000045508034,0.00005554764,0.00035916385,0.000048892412,0.018191742],"genre_scores_gemma":[0.9892435,0.00054999563,0.0031557956,0.0000331024,0.00003348749,0.000024670755,0.00008783756,0.0000089657815,0.00686267],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99913883,0.00036335152,0.00005834731,0.00020604309,0.00008807198,0.00014535399],"domain_scores_gemma":[0.9942449,0.002373937,0.0019260091,0.0005632415,0.0003149916,0.00057688594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013468458,0.0004078479,0.00069881754,0.0010051003,0.00049674377,0.0029012992,0.0010805463,0.0012112026,0.023677321],"category_scores_gemma":[0.011640013,0.00041996184,0.0004214855,0.0014418014,0.0011345813,0.004194487,0.0027337044,0.00090736384,0.0018194001],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012577436,0.00045189683,0.37660107,0.00035529202,0.00038689442,0.0023207269,0.002014353,0.057671923,0.0025911168,0.34679246,0.005593368,0.20396328],"study_design_scores_gemma":[0.0001336956,0.0005706949,0.18655023,0.00020293056,0.0002487912,0.0014874808,0.004248185,0.1002171,0.0012671929,0.69274175,0.012242471,0.000089505105],"about_ca_topic_score_codex":0.0019233209,"about_ca_topic_score_gemma":0.0021769528,"teacher_disagreement_score":0.023677321,"about_ca_system_score_codex":0.0009002031,"about_ca_system_score_gemma":0.00033485173,"threshold_uncertainty_score":0.07920855},"labels":[],"label_agreement":null}]}