{"id":"W2315529527","doi":"10.1177/171516350613900304","title":"Transforming from “Counters” to “Carers”","year":2006,"lang":"en","type":"article","venue":"Canadian Pharmacists Journal / Revue des Pharmaciens du Canada","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Psychology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01030542,0.0004233558,0.0004260872,0.001474047,0.01205054,0.01371009,0.001989297,0.003888008,0.01486163],"category_scores_gemma":[0.02504546,0.0004656376,0.0004947037,0.001776558,0.02337008,0.00700559,0.007894878,0.008013355,0.00276384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01852168,"about_ca_system_score_gemma":0.0492267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2084459,"about_ca_topic_score_gemma":0.3147568,"domain_scores_codex":[0.9794818,0.01098685,0.0004663356,0.001152262,0.004653285,0.003259546],"domain_scores_gemma":[0.9760558,0.003626687,0.002089332,0.001614728,0.005613904,0.01099957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001756035,0.0004741825,0.0385413,0.0001344839,0.00004311154,0.0005020946,0.1037441,0.0002037714,0.00126103,0.5582414,0.1416998,0.1549793],"study_design_scores_gemma":[0.0001131857,0.0002287447,0.0325017,0.0004716574,0.00006577728,0.000524548,0.1299449,0.0007997959,0.001360793,0.144604,0.6892369,0.0001479345],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2536253,0.001449922,0.01305532,0.4286614,0.003196535,0.0001139419,0.0002046704,0.0003848099,0.2993082],"genre_scores_gemma":[0.9014425,0.0005461403,0.004662189,0.05324329,0.0003684311,0.00006295693,0.00008638023,0.0001892483,0.0393987],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2084459,"threshold_uncertainty_score":0.4144653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06629706207013704,"score_gpt":0.3238023768595605,"score_spread":0.2575053147894235,"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."}}