{"id":"W2145256953","doi":"","title":"Healing our health care system: lessons from the past.","year":2009,"lang":"en","type":"article","venue":"PubMed","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Government (linguistics); Data science; Health care; Product (mathematics); Medicine; Computer science; Political science; Law; Artificial intelligence","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":[0.01192506,0.0007202543,0.0006505763,0.001594236,0.01581372,0.01712401,0.002790261,0.01067582,0.01132678],"category_scores_gemma":[0.01548035,0.0003994611,0.0006345414,0.002173866,0.02385665,0.01762887,0.008343322,0.02164159,0.001770401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01762647,"about_ca_system_score_gemma":0.03194073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04866888,"about_ca_topic_score_gemma":0.1501666,"domain_scores_codex":[0.9932486,0.003532604,0.0002007156,0.0003243758,0.001456188,0.001237554],"domain_scores_gemma":[0.9881421,0.004119919,0.0004617984,0.000595408,0.002208707,0.004472202],"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":[0.00006140015,0.0001536254,0.001316924,0.001124947,0.00004664871,0.0004231974,0.02171326,0.0003055148,0.0001201708,0.2409017,0.5768033,0.1570293],"study_design_scores_gemma":[0.00002527347,0.00006124636,0.001736862,0.00380756,0.00001814184,0.0004206305,0.03888651,0.0001771715,0.000160777,0.137985,0.8166537,0.00006723114],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001780758,0.07032201,0.00109808,0.8965788,0.006629714,0.00001151201,0.00004462562,0.00005073792,0.02348384],"genre_scores_gemma":[0.3156897,0.2145975,0.0090188,0.4279218,0.009887014,0.0001703835,0.0001550197,0.0002287057,0.02233107],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04866888,"threshold_uncertainty_score":0.1278896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09275665672200922,"score_gpt":0.4132143433021455,"score_spread":0.3204576865801363,"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."}}