{"id":"W2890502762","doi":"10.2196/10240","title":"Psychiatrists' Attitudes Toward Disruptive New Technologies: Mixed-Methods Study","year":2018,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Standardization; Medical physics; Reliability (semiconductor); Psychology; Mood; Test (biology); Medical education; Medicine; Clinical decision support system; Applied psychology; Clinical psychology; Family medicine; Computer science; Artificial intelligence; Decision support system; Human–computer interaction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007197476,0.0001876906,0.0003518911,0.000170888,0.0003543712,0.00002296996,0.0001568754,0.0001200621,0.0001584654],"category_scores_gemma":[0.00009069819,0.0001582259,0.00007164248,0.0004737313,0.0001689578,0.00009539857,0.00007708787,0.0003074947,0.0003320574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005396401,"about_ca_system_score_gemma":0.0008075589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003439364,"about_ca_topic_score_gemma":0.0009480583,"domain_scores_codex":[0.9980507,0.000169165,0.0005747195,0.0004470114,0.0002734314,0.0004849592],"domain_scores_gemma":[0.9989108,0.00007492024,0.0001708064,0.000436972,0.0001037118,0.0003027694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002646343,0.001336019,0.1083826,0.0001557593,0.00003234371,0.000001911926,0.02875684,3.904354e-8,0.00007483933,0.0001627023,0.03759977,0.8232325],"study_design_scores_gemma":[0.0008481805,0.02983175,0.3486794,0.0006625492,0.00005960932,0.0001193323,0.5371021,0.00009566322,0.01134581,0.004368734,0.06621415,0.0006726615],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9473502,0.001171277,0.00172736,0.04222629,0.003059192,0.003369219,0.000009353347,0.0004811552,0.0006059431],"genre_scores_gemma":[0.978141,0.0001839806,0.01841018,0.001387913,0.000946468,0.0001284426,0.00002294081,0.00002576146,0.0007532935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8225599,"threshold_uncertainty_score":0.6452265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1419112662694478,"score_gpt":0.5613910667080132,"score_spread":0.4194798004385654,"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."}}