{"id":"W7099991537","doi":"","title":"I*I of Canada Acquisitions and Bibliographie Services","year":2014,"lang":"en","type":"article","venue":"","topic":"Biological and pharmacological studies of plants","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Information system; Agency (philosophy); Work (physics); Payment","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004254849,0.00003604102,0.0001053781,0.00004869524,0.00003746444,0.000001341584,0.0000222563,0.00002275633,0.0004471738],"category_scores_gemma":[0.000006236441,0.0000189012,0.0000140475,0.0002467507,0.00004317467,0.000007161065,0.00002680557,0.00003059122,7.11652e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001619965,"about_ca_system_score_gemma":0.000005528643,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06118677,"about_ca_topic_score_gemma":0.08016498,"domain_scores_codex":[0.999733,0.000008540853,0.00006432028,0.00006283637,0.0000545567,0.00007677232],"domain_scores_gemma":[0.9997839,0.00007156507,0.00001483516,0.00002983622,0.00002516064,0.00007465498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002805668,0.0002886427,0.8513489,0.0004751544,0.0002641246,0.00001816731,0.00003361213,0.000001490407,0.02889141,0.009681212,0.09306271,0.015654],"study_design_scores_gemma":[0.000385826,0.0002355161,0.9279532,0.00001151911,0.00002838886,0.000005806822,0.00004402495,0.00006057296,0.001264759,0.0006328332,0.06933093,0.00004661002],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9626386,0.00023738,0.00001100732,0.003658587,0.00003339117,0.00004935328,0.00001535712,0.00001266532,0.03334363],"genre_scores_gemma":[0.995551,0.0002401484,0.0001612031,0.003840074,0.000025274,0.000001630019,0.000004181833,7.422303e-7,0.0001757084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0766043,"threshold_uncertainty_score":0.9450648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134212827414866,"score_gpt":0.241367557442365,"score_spread":0.2300254291682164,"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."}}