{"id":"W7008836634","doi":"","title":"Computer use by Canada's physicians approaches 90% mark","year":2001,"lang":"en","type":"article","venue":"Europe PMC (PubMed Central)","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"MEDLINE; Key (lock); Computer Applications; Expert system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002063384,0.0003236105,0.000302655,0.002551925,0.001883908,0.003319632,0.000853935,0.001851999,0.02538643],"category_scores_gemma":[0.01204499,0.000203045,0.0008598345,0.002972379,0.000683932,0.001479241,0.001452298,0.00136862,0.00730975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00951776,"about_ca_system_score_gemma":0.03156733,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9146471,"about_ca_topic_score_gemma":0.940551,"domain_scores_codex":[0.9963231,0.0004943512,0.0001087588,0.0002565176,0.001911951,0.0009052312],"domain_scores_gemma":[0.9919661,0.001132248,0.0005438903,0.0002921637,0.004081974,0.001983731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002833472,0.0002005023,0.3134477,0.0001999217,0.0001191645,0.0001764189,0.001932315,0.0007273806,0.0007304531,0.006931628,0.3626025,0.3126487],"study_design_scores_gemma":[0.00003071947,0.00007709878,0.6957821,0.0003158477,0.0000894754,0.0002997685,0.004582746,0.001226931,0.001077304,0.001551352,0.2949196,0.00004716731],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.459391,0.01249096,0.00310375,0.08570797,0.001410458,0.0001952445,0.0216457,0.001640297,0.4144147],"genre_scores_gemma":[0.8521752,0.005709228,0.001316024,0.0141622,0.0002660867,0.00005129243,0.005358418,0.0001718179,0.1207897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0853529,"threshold_uncertainty_score":0.1717111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06108794902270972,"score_gpt":0.2890548730419372,"score_spread":0.2279669240192274,"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."}}