{"id":"W2084030341","doi":"10.1016/j.ijlp.2011.12.003","title":"Picturing neuroscience research through a human rights lens: Imaging first-episode schizophrenic treatment-naive individuals","year":2012,"lang":"en","type":"article","venue":"International Journal of Law and Psychiatry","topic":"Healthcare Decision-Making and Restraints","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; NeuroDevNet","funders":"National Institute of Mental Health; Canadian Institutes of Health Research; Centre National d’Etudes Spatiales; Canada Research Chairs","keywords":"Redress; Human rights; Scrutiny; Operationalization; Transparency (behavior); Political science; Interrogation; Convention; Context (archaeology); Engineering ethics; Protocol (science); Psychology; Medicine; Law; Alternative medicine; Epistemology; Pathology; Engineering","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005901314,0.0002302989,0.0001092446,0.0009985218,0.0005308649,0.001125826,0.0003145558,0.001138391,0.004305782],"category_scores_gemma":[0.003181073,0.0002291831,0.0001156267,0.0004228776,0.0009370486,0.001948225,0.0009863798,0.0009888852,0.0003132274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003629787,"about_ca_system_score_gemma":0.0006261768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001212996,"about_ca_topic_score_gemma":0.002088961,"domain_scores_codex":[0.9998952,0.00004661003,0.000008861024,0.00001272315,0.00001394091,0.00002270125],"domain_scores_gemma":[0.9994985,0.0002537997,0.00008428724,0.00005527381,0.00004641919,0.00006172617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"qualitative","study_design_scores_codex":[0.003704873,0.0008600516,0.08699105,0.001642945,0.0002414779,0.01707952,0.008842675,0.006295799,0.4470372,0.02983393,0.01089454,0.386576],"study_design_scores_gemma":[0.0009292205,0.003419417,0.3665251,0.001976315,0.000740349,0.1051995,0.02472,0.03754118,0.2264482,0.1680149,0.06413962,0.0003461577],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9309313,0.003540586,0.03353455,0.01074153,0.0001447059,0.0001454064,0.0004446988,0.0001147938,0.0204024],"genre_scores_gemma":[0.9642552,0.003135741,0.02814107,0.001047539,0.0001760733,0.0001215525,0.00009181237,0.00008268934,0.002948257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9994692,"threshold_uncertainty_score":0.0144043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.122561529499231,"score_gpt":0.4659834077645704,"score_spread":0.3434218782653393,"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."}}