{"id":"W7136128024","doi":"10.1016/s0002-9459(26)00908-3","title":"102nd Annual; Meeting, July 8-11, 2001, Toronto, Canada","year":2001,"lang":"en","type":"article","venue":"American Journal of Pharmaceutical Education","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Identification (biology); Government (linguistics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009091114,0.001561227,0.001184001,0.0012656,0.004780143,0.003446895,0.001396997,0.003243655,0.4093744],"category_scores_gemma":[0.0008597678,0.0004553771,0.000660586,0.001078491,0.0008318555,0.0009461038,0.001135493,0.002396991,0.214917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006988083,"about_ca_system_score_gemma":0.008779882,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5022229,"about_ca_topic_score_gemma":0.8664911,"domain_scores_codex":[0.9993823,0.00003136189,0.00001319104,0.000074164,0.0002779762,0.0002210133],"domain_scores_gemma":[0.9983844,0.00006253093,0.00002634096,0.00003314867,0.0009156556,0.0005779513],"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":[0.0001675327,0.00006471618,0.0007996486,0.00008953765,0.00001063939,0.0001073548,0.00008300852,0.00009930357,0.0003994811,0.000373881,0.9775667,0.02023828],"study_design_scores_gemma":[0.00005274095,0.00006004033,0.006890545,0.0001135242,0.00002756018,0.00007024321,0.0004007968,0.0002637724,0.0002771132,0.0001687796,0.9916553,0.00001964928],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01374785,0.01320242,0.002513225,0.03166446,0.04249206,0.0009471023,0.01437705,0.001254412,0.8798015],"genre_scores_gemma":[0.003977558,0.001492659,0.0002575483,0.0003849281,0.0007411692,0.00003085128,0.00102418,0.00008595279,0.9920052],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4977771,"threshold_uncertainty_score":0.9985993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02949742716877093,"score_gpt":0.2881374321119294,"score_spread":0.2586400049431585,"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."}}