{"id":"W1904905493","doi":"","title":"Continuing educational needs in computers and informatics. McGill survey of family physicians.","year":2000,"lang":"en","type":"article","venue":"PubMed","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Informatics; Health informatics; Medical education; Medicine; Family medicine; Health informatics tools; Service (business); Nursing; Public health","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":[0.001135276,0.0001490603,0.0001329575,0.0009098688,0.0006124227,0.0003748632,0.0003792755,0.0004856974,0.002994846],"category_scores_gemma":[0.007940379,0.0002631111,0.000155914,0.001094079,0.0002642527,0.0005277472,0.0003559048,0.0004095856,0.0003585178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004543519,"about_ca_system_score_gemma":0.003487566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4776771,"about_ca_topic_score_gemma":0.5799656,"domain_scores_codex":[0.9989551,0.0002394865,0.00009639932,0.00007999822,0.0004299269,0.0001990575],"domain_scores_gemma":[0.9917185,0.001628541,0.00237669,0.0001090618,0.001552849,0.002614239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006398823,0.00007001395,0.9906629,0.0000501951,0.00001226237,0.00009558471,0.001046751,0.00003543032,0.0002108546,0.00001445968,0.003357722,0.004379695],"study_design_scores_gemma":[0.00000749755,0.00006045604,0.9981835,0.00001499659,0.000002776192,0.00005323928,0.0006316819,0.00005914548,0.0000348059,0.000003194159,0.0009445456,0.000003959248],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988663,0.0005594357,0.0000587287,0.001926206,0.00001027231,0.0001042654,0.006476659,0.00001410109,0.002187463],"genre_scores_gemma":[0.9968984,0.0002256172,0.0001464509,0.0005812023,0.00001288306,0.00006744824,0.001196714,0.00000240054,0.0008689053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4776771,"threshold_uncertainty_score":0.9497935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05808704440908578,"score_gpt":0.3512255286791069,"score_spread":0.2931384842700211,"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."}}