{"id":"W4220815410","doi":"10.1186/s12889-022-12760-6","title":"Food insecurity, home ownership and income-related equity in dental care use and access: the case of Canada","year":2022,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Università degli Studi di Perugia; Regione Umbria; McMaster University","keywords":"Medicine; Food insecurity; Equity (law); Biostatistics; Environmental health; Public health; Epidemiology; Dental care; Demographic economics; Family medicine; Food security; Nursing; Geography; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001975123,0.0003919162,0.000729722,0.002206135,0.01079858,0.003938238,0.002068699,0.001250959,0.005851056],"category_scores_gemma":[0.00636417,0.0003366143,0.001369873,0.006931765,0.002656412,0.00126743,0.003626957,0.002737582,0.0001711626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08804316,"about_ca_system_score_gemma":0.1032545,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9981786,"about_ca_topic_score_gemma":0.9986584,"domain_scores_codex":[0.9967997,0.0003217327,0.00007115901,0.0002165246,0.0005334916,0.002057325],"domain_scores_gemma":[0.9944411,0.0006715335,0.0008632683,0.000265376,0.00165777,0.002101023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001622093,0.0001585471,0.9158168,0.0001883285,0.00025191,0.00205443,0.01219448,0.0009735964,0.0001403744,0.02587435,0.01130371,0.03088118],"study_design_scores_gemma":[0.00005075197,0.00004263396,0.9393963,0.0008442383,0.0003028674,0.0007920326,0.03562728,0.003772466,0.0001285289,0.005630384,0.01331144,0.0001011932],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9501566,0.007996745,0.0004081246,0.01579131,0.00007945231,0.00009823785,0.002949168,0.00001559658,0.02250475],"genre_scores_gemma":[0.995414,0.002063957,0.0002462973,0.0004674182,0.00001532213,0.00001666412,0.000390563,0.000007331217,0.001378383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08804316,"threshold_uncertainty_score":0.6388009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2960244775697395,"score_gpt":0.4604786299384804,"score_spread":0.1644541523687408,"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."}}