{"id":"W1586285981","doi":"10.4212/cjhp.v61i5.92","title":"Looking Back with Pride, Looking Ahead with Anticipation","year":2008,"lang":"en","type":"article","venue":"The Canadian Journal of Hospital Pharmacy","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Anticipation (artificial intelligence); Pride; Health care; Nursing; Variety (cybernetics); Duty; Front line; Value (mathematics); Public relations; Medicine; Psychology; Political science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.009144383,0.000891193,0.0007466271,0.001208644,0.01105672,0.01478289,0.001414312,0.007481856,0.03404293],"category_scores_gemma":[0.03117507,0.0006323951,0.0009303547,0.0005312876,0.01105159,0.0173614,0.01127939,0.02665322,0.0236388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005199841,"about_ca_system_score_gemma":0.01539204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01007775,"about_ca_topic_score_gemma":0.01983281,"domain_scores_codex":[0.9929691,0.002470357,0.0002456258,0.0005661428,0.002502282,0.001246577],"domain_scores_gemma":[0.9800141,0.002414001,0.0008920691,0.0008593782,0.005196279,0.01062418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004143854,0.00007210371,0.001170678,0.0001330722,0.00001921635,0.0006485931,0.005836186,0.00005509682,0.0003981351,0.02522326,0.9232291,0.04317301],"study_design_scores_gemma":[0.00001443218,0.0000560974,0.0007430844,0.000448795,0.00001172345,0.00125207,0.01007169,0.00007401383,0.0001394799,0.02088008,0.966251,0.00005772543],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.001877221,0.006794749,0.005525488,0.8836049,0.03379661,0.00006765883,0.0000474122,0.0004061005,0.06787981],"genre_scores_gemma":[0.1021165,0.01810432,0.01772789,0.592731,0.02877315,0.000173542,0.0001414843,0.0009282098,0.2393039],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.03404293,"threshold_uncertainty_score":0.1138849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0904669081400461,"score_gpt":0.3524390821833402,"score_spread":0.2619721740432941,"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."}}