{"id":"W6920904476","doi":"10.6084/m9.figshare.26966403.v1","title":"Additional file 1 of Perspectives on virtual interviews and emerging technologies integration in family medicine residency programs: a cross-sectional survey study","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; Jewish General Hospital; McGill University","funders":"","keywords":"Survey research; Emerging technologies; Survey data collection; MEDLINE; Qualitative research","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":["insufficient_payload"],"category_scores_codex":[0.002860632,0.0005993639,0.0007467075,0.003540467,0.001823002,0.001392601,0.001758912,0.00110771,0.7266495],"category_scores_gemma":[0.04422743,0.0004808274,0.0005531246,0.006831027,0.0003987907,0.002499874,0.001297391,0.001023984,0.07062758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001939717,"about_ca_system_score_gemma":0.002776784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01877356,"about_ca_topic_score_gemma":0.02832388,"domain_scores_codex":[0.9987129,0.000468868,0.0002383685,0.0001689706,0.0002148043,0.0001961282],"domain_scores_gemma":[0.9422123,0.04519845,0.00402958,0.001598549,0.005570234,0.001390829],"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":[0.0003110069,0.0005618573,0.02824232,0.002286035,0.00003707514,0.0001465314,0.001967659,0.0002180956,0.0000662353,0.001212697,0.9450421,0.01990834],"study_design_scores_gemma":[0.002221662,0.0007396261,0.4644546,0.007139498,0.0001571651,0.001074899,0.0394151,0.001484564,0.0005610891,0.008373692,0.4741024,0.000275722],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.006772102,0.00004484129,0.0004428026,0.0005036493,0.0000549992,0.0007027525,0.98659,0.00009471388,0.004794102],"genre_scores_gemma":[0.1255461,0.0005544102,0.009558684,0.002484333,0.0002048839,0.03661794,0.7746109,0.0004571867,0.04996558],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2733505,"threshold_uncertainty_score":0.3899013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1930013681533561,"score_gpt":0.4779605708388943,"score_spread":0.2849592026855382,"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."}}