{"id":"W4252624106","doi":"10.1111/lest.ahead-of-print","title":"10.1111/lest.ahead-of-print","year":2000,"lang":"en","type":"paratext","venue":"Time to knit","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007340935,0.001323704,0.0008866911,0.001897297,0.001263092,0.007229631,0.00183442,0.00405506,0.9821172],"category_scores_gemma":[0.002713459,0.0007724547,0.0007420742,0.002323993,0.001096152,0.004656938,0.002690323,0.002562757,0.9872388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009939801,"about_ca_system_score_gemma":0.0009596907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002173631,"about_ca_topic_score_gemma":0.003140518,"domain_scores_codex":[0.9996656,0.00004286239,0.00002770187,0.0000691085,0.0001265121,0.00006822427],"domain_scores_gemma":[0.9980546,0.0004832795,0.0001089028,0.000339162,0.0004218251,0.0005923156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006986267,0.00006271744,0.0001157346,0.0001479034,0.000003435663,0.00005781438,0.00002379779,0.0001695771,0.0002785168,0.003900365,0.8391073,0.1560629],"study_design_scores_gemma":[0.00001862801,0.00001553658,0.000204555,0.0001166622,0.000002119297,0.00007999001,0.00003498019,0.00013952,0.0001507733,0.00169908,0.9975296,0.000008688661],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001436645,0.0003617422,0.0006800991,0.0008802429,0.0007561087,0.00003411852,0.002383701,0.002013138,0.9927471],"genre_scores_gemma":[0.0008603376,0.0002072818,0.0002733271,0.0003963991,0.000130147,0.00001989027,0.001086705,0.0006751396,0.9963508],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01788276,"threshold_uncertainty_score":0.02550757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02756510286768509,"score_gpt":0.1860835577648239,"score_spread":0.1585184548971388,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}