{"id":"W1973820112","doi":"10.1177/0193945906288580","title":"Commentary by Wharf Higgins","year":2006,"lang":"en","type":"article","venue":"Western Journal of Nursing Research","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Wharf; Psychology; Medicine; History; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002257285,0.00007754846,0.0002439261,0.000476608,0.0001480096,0.000118687,0.0003192173,0.0000524735,0.00006880455],"category_scores_gemma":[0.00003744396,0.00008336119,0.0000744331,0.0002281115,0.0001095871,0.0002395997,0.00003456494,0.0004357006,0.0001401729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004502604,"about_ca_system_score_gemma":0.00002380389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001495485,"about_ca_topic_score_gemma":0.00003333212,"domain_scores_codex":[0.9985435,0.00008363977,0.0006421199,0.0001427124,0.0001482702,0.0004397733],"domain_scores_gemma":[0.9992704,0.00009157676,0.0002351525,0.0001810511,0.00008909497,0.0001326675],"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":[0.00005131384,0.0005696385,0.03165457,0.00004200128,0.00003204567,0.00004085412,0.000722078,0.0000215094,0.00008571678,0.03396297,0.9165518,0.01626556],"study_design_scores_gemma":[0.0008734153,0.0004303514,0.02424779,0.0002961937,0.000004209077,0.0000463087,0.000305696,0.00005340834,0.0002006838,0.08438409,0.8890011,0.0001567935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5340228,0.01003045,0.003587676,0.4069358,0.001282635,0.0003028522,0.00009825295,0.00002165614,0.04371785],"genre_scores_gemma":[0.9962114,0.0002326571,0.0002176933,0.001251838,0.0005647983,0.000002131274,0.000005675053,0.00001814712,0.001495655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4621886,"threshold_uncertainty_score":0.3399371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1695267999089104,"score_gpt":0.4101896296941231,"score_spread":0.2406628297852127,"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."}}