{"id":"W102980481","doi":"","title":"Cognitive impact assessment of electronic knowledge resources: a mixed methods evaluation study of a handheld prototype.","year":2006,"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":"Cognition; Mobile device; Resource (disambiguation); Scale (ratio); Dependency (UML); Computer science; Knowledge management; Medicine; World Wide Web; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.03837429,0.001042611,0.001053697,0.001785148,0.0007313928,0.001014879,0.001548326,0.001355397,0.002437465],"category_scores_gemma":[0.05155427,0.0006240755,0.001203146,0.001041309,0.0008980164,0.002037181,0.001301686,0.0007601601,0.0003976086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001460369,"about_ca_system_score_gemma":0.002134608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001301099,"about_ca_topic_score_gemma":0.002061198,"domain_scores_codex":[0.9778504,0.01597875,0.002099333,0.0007813053,0.002825419,0.0004648322],"domain_scores_gemma":[0.9589295,0.02876139,0.003434667,0.002450278,0.005038435,0.001385694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.04129456,0.185081,0.1354441,0.01030199,0.001257804,0.001017142,0.02445769,0.001943402,0.01632851,0.0004314956,0.001134073,0.5813082],"study_design_scores_gemma":[0.02557283,0.7073559,0.21987,0.0009939652,0.001500958,0.0007088705,0.01031062,0.004247378,0.02250804,0.0006056017,0.006024648,0.0003012664],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786195,0.0003114328,0.003319469,0.00007815452,0.00002840014,0.01674406,0.0002066455,0.00003832781,0.0006540582],"genre_scores_gemma":[0.8952112,0.0005917872,0.04793118,0.0003359477,0.0001033275,0.05425514,0.0004201151,0.00002995346,0.001121256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03837429,"threshold_uncertainty_score":0.2029451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.124589780554613,"score_gpt":0.5525301030300864,"score_spread":0.4279403224754734,"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."}}