{"id":"W2017373658","doi":"10.1016/j.tins.2014.06.001","title":"Collision or convergence?","year":2014,"lang":"en","type":"article","venue":"Trends in Neurosciences","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"NeuroDevNet; University of British Columbia Hospital; University of British Columbia","funders":"Canadian Institutes of Health Research; Multiple Sclerosis Society; Canada Research Chairs; Multiple Sclerosis Society of Canada; Heart and Stroke Foundation of Canada","keywords":"Politics; Psychological intervention; Public opinion; Political science; Public policy; Human rights; Scientific evidence; Public relations; Power (physics); Public administration; Psychology; Law; Epistemology; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00836944,0.0007590884,0.001678694,0.003341616,0.007170415,0.01405467,0.002563171,0.005948179,0.05790422],"category_scores_gemma":[0.04825902,0.0007081753,0.0009998222,0.002008697,0.03101731,0.0327785,0.01554895,0.008976161,0.008626286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002520767,"about_ca_system_score_gemma":0.003265234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001759574,"about_ca_topic_score_gemma":0.0009845542,"domain_scores_codex":[0.9918371,0.002838527,0.0004373978,0.001742428,0.001827862,0.001316818],"domain_scores_gemma":[0.9871073,0.006227923,0.0008858059,0.002307258,0.002021409,0.001450306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002102652,0.000006144153,0.0003221786,0.0000213653,0.000007988519,0.0001011762,0.002640156,0.00007381367,0.00004015197,0.9844626,0.00402906,0.008274397],"study_design_scores_gemma":[0.00001201967,0.00001100396,0.0002027743,0.00008701567,0.000007275408,0.0003067883,0.003559865,0.0003550036,0.00007187387,0.9705487,0.02482498,0.00001272574],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05066691,0.004948919,0.120913,0.07136105,0.004156924,0.0001197801,0.0002165494,0.0004064261,0.7472104],"genre_scores_gemma":[0.8965852,0.001956454,0.02501097,0.007680818,0.001663046,0.0003182896,0.0002839936,0.0006181318,0.06588309],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05790422,"threshold_uncertainty_score":0.193709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5819837220512238,"score_gpt":0.6086555853251273,"score_spread":0.02667186327390347,"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."}}