{"id":"W2099219598","doi":"10.1002/hec.1237","title":"Different dental care setting: does income matter?","year":2007,"lang":"en","type":"article","venue":"Health Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Royal Golden Jubilee (RGJ) Ph.D. Programme","keywords":"Dental care; Economics; Medicine; Family medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001939687,0.0003224574,0.0008633951,0.001188013,0.0006875094,0.002320003,0.0007695361,0.001086562,0.009382227],"category_scores_gemma":[0.01027291,0.000187219,0.001077277,0.001479066,0.00131034,0.001432357,0.001145425,0.001340973,0.0005019813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008477721,"about_ca_system_score_gemma":0.0006837633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006107979,"about_ca_topic_score_gemma":0.006160309,"domain_scores_codex":[0.9977106,0.001138517,0.0001349292,0.0002031706,0.0002916442,0.0005212047],"domain_scores_gemma":[0.9868644,0.006366144,0.003804011,0.000201336,0.0004597668,0.002304339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003174955,0.0002259931,0.9817664,0.00006840825,0.0004447856,0.0005336301,0.0003647128,0.0005853832,0.00009174897,0.002063159,0.0006279595,0.01291026],"study_design_scores_gemma":[0.00006555844,0.0003138387,0.9843142,0.0001512139,0.0004986798,0.0003588613,0.004432804,0.002181099,0.0001545199,0.005108819,0.002384235,0.00003617182],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841945,0.002571488,0.00102798,0.005630803,0.00008628987,0.00004765748,0.0005212988,0.00001115244,0.005908898],"genre_scores_gemma":[0.9982827,0.0004222415,0.0001250423,0.0002741675,0.00006929014,0.000008985364,0.0001549237,0.000005136676,0.000657535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009382227,"threshold_uncertainty_score":0.03138667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02800213284141876,"score_gpt":0.2820522679161732,"score_spread":0.2540501350747544,"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."}}