{"id":"W1945600952","doi":"","title":"Adoption of Information Technology in Primary Care Physician Offices in Alberta and Denmark, Part 2: A Novel Comparison Methodology","year":2007,"lang":"en","type":"article","venue":"ElectronicHealthcare","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Danish; Government (linguistics); Payment; Primary care; Business; Family medicine; European union; Medicine; Accounting; Marketing; Finance","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":[0.01609887,0.0008455617,0.0009229159,0.008964748,0.003086649,0.004658523,0.002530348,0.001202514,0.002434003],"category_scores_gemma":[0.03353182,0.0005369267,0.001841223,0.01302433,0.003232497,0.001616878,0.004282529,0.001400528,0.000255469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01912245,"about_ca_system_score_gemma":0.01173215,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5487079,"about_ca_topic_score_gemma":0.5094378,"domain_scores_codex":[0.9731289,0.01469075,0.001797064,0.002270004,0.005786176,0.002327273],"domain_scores_gemma":[0.9776673,0.01048861,0.003765937,0.001595229,0.005660435,0.0008224837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002294527,0.001447412,0.9251066,0.0006677003,0.00131993,0.0004261494,0.02157874,0.002499497,0.0009852728,0.009335816,0.0008078196,0.03353053],"study_design_scores_gemma":[0.0001977904,0.001728652,0.9690618,0.0001480135,0.0005133501,0.0001158149,0.01968335,0.002475153,0.000729748,0.0009640986,0.004332722,0.00004946882],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864871,0.0009531857,0.002920748,0.00008056871,0.00003102183,0.001349327,0.0009658674,0.00001533403,0.007196821],"genre_scores_gemma":[0.9863175,0.0003057365,0.007137688,0.0001154088,0.00002278277,0.00225492,0.001852663,0.00001701533,0.001976105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5487079,"threshold_uncertainty_score":0.9078997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02689485931124617,"score_gpt":0.2934093208216858,"score_spread":0.2665144615104396,"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."}}