{"id":"W6911134455","doi":"10.5281/zenodo.10157367","title":"Canadian Open Neuroscience Platform (CONP) - Privacy Policy for the CONP Portal","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"NeuroDevNet; Ontario Brain Institute; University of British Columbia; Montreal Neurological Institute and Hospital; Toronto Metropolitan University; McGill University","funders":"","keywords":"Open science; Information privacy; Open source; Privacy policy; Open data; Patient privacy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01555238,0.001065386,0.001726854,0.00345969,0.009285263,0.01622939,0.005726998,0.01053521,0.2318361],"category_scores_gemma":[0.06436232,0.002064824,0.001217382,0.007982979,0.004790511,0.009021362,0.006811553,0.008137003,0.1194703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04983551,"about_ca_system_score_gemma":0.1812475,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8211027,"about_ca_topic_score_gemma":0.7955688,"domain_scores_codex":[0.976498,0.001947264,0.0009528921,0.001653104,0.01564164,0.003307032],"domain_scores_gemma":[0.9317164,0.01072418,0.00148885,0.01443651,0.03461215,0.007021858],"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":[0.00010642,0.00003265888,0.0004091987,0.00008101502,0.00001216239,0.00007727957,0.0002733923,0.0002600697,0.0003551119,0.06986636,0.9129759,0.01555044],"study_design_scores_gemma":[0.00004640504,0.000008944741,0.0009207417,0.0001518343,0.00001022387,0.00008159786,0.0001870896,0.0008955163,0.0006922093,0.01442129,0.9824933,0.00009088119],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002272495,0.0007707097,0.03366317,0.04526292,0.001592401,0.001551142,0.130582,0.0136457,0.7706594],"genre_scores_gemma":[0.07012477,0.002499353,0.05963105,0.03865716,0.0007008449,0.002543611,0.1119887,0.009689146,0.7041654],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8211027,"threshold_uncertainty_score":0.7755691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2403636487683694,"score_gpt":0.3836226854023412,"score_spread":0.1432590366339718,"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."}}