{"id":"W4366982164","doi":"10.1080/21507740.2023.2188302","title":"Why Canada’s Artificial Intelligence and Data Act Needs “Mental Data”","year":2023,"lang":"en","type":"letter","venue":"AJOB Neuroscience","topic":"Psychedelics and Drug Studies","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Psychology; Mental image; Psychiatry; Cognitive science; Cognition","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":[0.004387097,0.0009717349,0.001152703,0.001690748,0.01714569,0.008540514,0.002825578,0.08306868,0.03531889],"category_scores_gemma":[0.02833602,0.001394979,0.002019461,0.001282494,0.00587091,0.003122051,0.002046735,0.05531349,0.01708587],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03376989,"about_ca_system_score_gemma":0.08668702,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8076761,"about_ca_topic_score_gemma":0.9127265,"domain_scores_codex":[0.9935579,0.0004029077,0.0004149536,0.000455577,0.003116877,0.002051895],"domain_scores_gemma":[0.9683778,0.009120581,0.0006522995,0.0007591386,0.01240969,0.008680506],"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":[0.0000160077,0.00001536943,0.0003224041,0.000007705375,0.000005289724,0.0001992588,0.00003835896,0.00002485172,0.00005539157,0.001209533,0.9956014,0.002504487],"study_design_scores_gemma":[0.0001052787,0.00002841081,0.002089101,0.0001186285,0.00003109189,0.0002691355,0.0003792843,0.0004289174,0.0001866756,0.003674685,0.9926037,0.00008517478],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005074893,0.0003738981,0.0001618453,0.9722772,0.009486684,0.00003758119,0.0002817753,0.0001425462,0.01673098],"genre_scores_gemma":[0.002411614,0.0002815734,0.000281991,0.9478489,0.004592519,0.00003148765,0.00007279561,0.00005787335,0.0444212],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9662301,"threshold_uncertainty_score":0.3869131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2857763930580708,"score_gpt":0.3982329789886613,"score_spread":0.1124565859305904,"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."}}