{"id":"W1490945950","doi":"","title":"Chronic Healthcare Spending Disease: A Macro Diagnosis and Prognosis","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Payment; Business; Baseline (sea); Quality (philosophy); Public economics; Actuarial science; Economics; Economic growth; Finance; Political science","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":[0.0005410085,0.0003467926,0.0004662572,0.002436748,0.001119194,0.001719775,0.0003661217,0.0004458434,0.004642371],"category_scores_gemma":[0.002326604,0.0001758653,0.0004315813,0.003348469,0.0007484732,0.0008192948,0.0009860651,0.0008791052,0.0005075799],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006196357,"about_ca_system_score_gemma":0.008593651,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.660009,"about_ca_topic_score_gemma":0.7054217,"domain_scores_codex":[0.9995787,0.00004551915,0.00002492829,0.00003725149,0.0001537349,0.0001599425],"domain_scores_gemma":[0.9990694,0.00006012671,0.0001529572,0.00003469263,0.0003349338,0.0003479669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007688023,0.00003756926,0.9469499,0.00007089614,0.00008000517,0.00009141732,0.0002388625,0.001136255,0.00008158959,0.005252277,0.02087923,0.02510505],"study_design_scores_gemma":[0.00001004283,0.00007459714,0.9733703,0.0002233958,0.00009088359,0.0002314711,0.001100046,0.002907898,0.00009710178,0.00379647,0.01806558,0.00003229078],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6739841,0.02048559,0.004547935,0.06255668,0.0007878829,0.0004941279,0.09564765,0.0001858393,0.1413102],"genre_scores_gemma":[0.9810528,0.003625235,0.000893657,0.000471569,0.0001790688,0.00004462135,0.008605956,0.0000097354,0.005117242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9938036,"threshold_uncertainty_score":0.6839866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0295316090805002,"score_gpt":0.298492589656818,"score_spread":0.2689609805763178,"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."}}