{"id":"W7061128509","doi":"","title":"The Pharmaceutical Industry Relations Committee at McGill","year":2001,"lang":"en","type":"other","venue":"DigitalGeorgetown (Georgetown University Library)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pharmaceutical industry; Drug industry; 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":[0.002185819,0.001065967,0.0006123824,0.001811175,0.005980376,0.005660458,0.001470463,0.006444263,0.4761216],"category_scores_gemma":[0.003445917,0.0007634949,0.0005861483,0.001281744,0.001048764,0.001525597,0.001604614,0.004339641,0.2190686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008061496,"about_ca_system_score_gemma":0.01921968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1386513,"about_ca_topic_score_gemma":0.3748712,"domain_scores_codex":[0.9981635,0.0001173641,0.0000440663,0.000231298,0.0009348304,0.0005090591],"domain_scores_gemma":[0.9972202,0.0004283884,0.0001079206,0.0001901654,0.001095268,0.0009580741],"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":[0.00002802413,0.00002596353,0.0001314298,0.00003075586,0.000002040792,0.00004765864,0.00002304663,0.00002394415,0.0002169523,0.004806035,0.9773915,0.0172727],"study_design_scores_gemma":[0.00001586577,0.00001570576,0.0009904387,0.00003826724,0.000004089039,0.00002096042,0.00003610769,0.00005782194,0.0001935185,0.0003922663,0.998229,0.000006021818],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001177196,0.003052009,0.0003034307,0.02323359,0.002177595,0.0002421194,0.001662003,0.0004475985,0.9677045],"genre_scores_gemma":[0.0009860465,0.0002679892,0.0000620438,0.002000202,0.0001073371,0.00002255063,0.0001329751,0.00002514803,0.9963958],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4761216,"threshold_uncertainty_score":0.7472489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01126917347780159,"score_gpt":0.2205226265937212,"score_spread":0.2092534531159196,"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."}}