{"id":"W7098546207","doi":"","title":"Analysis of Karen Harper’s cores from Churchill, Manitoba","year":2015,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Feature (linguistics); Field (mathematics); Identification (biology); Term (time)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008521748,0.0002051886,0.0003547071,0.001617382,0.00278123,0.001140548,0.0006770161,0.0003168735,0.007772435],"category_scores_gemma":[0.006482745,0.0001533989,0.0002103868,0.001889189,0.0007125553,0.0005342278,0.0008608519,0.0006092181,0.0008739042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004092539,"about_ca_system_score_gemma":0.005167645,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3725584,"about_ca_topic_score_gemma":0.5613595,"domain_scores_codex":[0.9995838,0.00006933507,0.000008231934,0.00005059454,0.0001713837,0.000116754],"domain_scores_gemma":[0.9972478,0.0004595095,0.00009973475,0.0001378336,0.001686247,0.0003689241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001013552,0.0003931247,0.2276755,0.0002776094,0.0001932281,0.003203825,0.009767449,0.03388157,0.003802685,0.3220456,0.1866147,0.2111312],"study_design_scores_gemma":[0.00007047306,0.0001928814,0.5064757,0.0003489142,0.0001087885,0.001024789,0.0243193,0.06740653,0.005395687,0.0799358,0.3146182,0.0001029682],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8894005,0.001035954,0.005561348,0.002319863,0.0001322657,0.00004421221,0.00148905,0.0001095933,0.09990716],"genre_scores_gemma":[0.9657342,0.0003274593,0.002604603,0.0002075039,0.00002960908,0.00001499315,0.001659809,0.0001441368,0.02927769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6274416,"threshold_uncertainty_score":0.7407797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1058354538793434,"score_gpt":0.2205552710213117,"score_spread":0.1147198171419683,"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."}}