{"id":"W6902004190","doi":"10.6084/m9.figshare.26036450","title":"Additional file 1 of Primary care physicians’ perceptions of artificial intelligence systems in the care of adolescents’ mental health","year":2024,"lang":"en","type":"article","venue":"Open MIND","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital; McGill University; Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Primary care; Mental health; Perception; Mental health care; Primary health care; Health care","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001795975,0.0007400361,0.001142224,0.002716435,0.001585246,0.001695412,0.00173364,0.0015867,0.8740693],"category_scores_gemma":[0.07550754,0.0006039913,0.0007638519,0.004568228,0.0003041902,0.002159867,0.0009861365,0.001278796,0.08829587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001979029,"about_ca_system_score_gemma":0.003562832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02292732,"about_ca_topic_score_gemma":0.0365698,"domain_scores_codex":[0.999126,0.0002506734,0.0001934585,0.0001304533,0.0001829211,0.0001164659],"domain_scores_gemma":[0.9047582,0.08191962,0.003579043,0.001684272,0.006846555,0.001212219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003316478,0.0005219748,0.00523966,0.004601496,0.00004793892,0.00006536247,0.0004696371,0.0003261348,0.00002512763,0.001605267,0.9684743,0.01829134],"study_design_scores_gemma":[0.01776736,0.001497092,0.212934,0.02379775,0.0005306636,0.001336845,0.01162568,0.005180849,0.0006761597,0.03330772,0.6908479,0.0004978477],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.001783288,0.00007502678,0.0003318732,0.0004818448,0.00007181219,0.000582624,0.992659,0.0001061578,0.003908196],"genre_scores_gemma":[0.07499389,0.001051771,0.01291644,0.003677631,0.0004863444,0.03005817,0.8357468,0.0005889576,0.04048003],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8740693,"threshold_uncertainty_score":0.1796247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0670501997747336,"score_gpt":0.3972299124432426,"score_spread":0.330179712668509,"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."}}