{"id":"W7132938813","doi":"","title":"Genograms: Seeing Patients and Families","year":2014,"lang":"en","type":"other","venue":"TSpace","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department of Family and Community Medicine, University of Toronto","keywords":"Genogram; Biopsychosocial model; Identification (biology); Family life; Family health","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002146369,0.000458989,0.0002646829,0.0007287477,0.002888561,0.001547799,0.0006803098,0.001938027,0.0672414],"category_scores_gemma":[0.009421227,0.0002717722,0.0002873353,0.0006184074,0.000965871,0.002635241,0.002972943,0.00229304,0.01292879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001180194,"about_ca_system_score_gemma":0.003075121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004648928,"about_ca_topic_score_gemma":0.01098505,"domain_scores_codex":[0.9988804,0.000740683,0.00005224236,0.00005694016,0.0001378464,0.0001317559],"domain_scores_gemma":[0.9951324,0.000961728,0.0003643012,0.0002596642,0.0007782683,0.002503581],"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":[0.00004054757,0.00004198017,0.004763159,0.00005389075,0.000005198069,0.001525384,0.002771069,0.0000545699,0.00006989895,0.001682157,0.9005058,0.08848629],"study_design_scores_gemma":[0.00003794501,0.00009513575,0.006606479,0.000485635,0.00001148432,0.005998042,0.01155277,0.00009474315,0.000126739,0.00544742,0.9695101,0.00003353126],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07056994,0.01852409,0.008625456,0.3002008,0.01133634,0.0005342926,0.004155551,0.003365894,0.5826877],"genre_scores_gemma":[0.4633795,0.04657566,0.03571355,0.1339037,0.008795196,0.001444132,0.005038561,0.001722151,0.3034276],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0672414,"threshold_uncertainty_score":0.2249449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01008475252116379,"score_gpt":0.2778288424798291,"score_spread":0.2677440899586653,"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."}}