{"id":"W4401451742","doi":"10.55905/revconv.17n.8-129","title":"Modelo Calgary de avaliação familiar: um estudo bibliométrico","year":2024,"lang":"pt","type":"article","venue":"Contribuciones a las Ciencias Sociales","topic":"Healthcare during COVID-19 Pandemic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Psychology; Political science; Sociology; Philosophy","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01674828,0.00098455,0.00175998,0.03671243,0.002213735,0.01314509,0.002161629,0.001163086,0.008321254],"category_scores_gemma":[0.07639887,0.0006254998,0.00219759,0.1014668,0.001919646,0.01057354,0.003905689,0.0009652352,0.001093214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01046324,"about_ca_system_score_gemma":0.01716122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04954988,"about_ca_topic_score_gemma":0.03329577,"domain_scores_codex":[0.9783831,0.007153652,0.00331916,0.002079406,0.008457026,0.0006076511],"domain_scores_gemma":[0.9287052,0.03967706,0.01139693,0.004417084,0.01469935,0.001104482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001769355,0.0002834216,0.6995969,0.008326641,0.001662177,0.0002659761,0.02204267,0.01027604,0.000738019,0.0462021,0.01141118,0.199018],"study_design_scores_gemma":[0.0001320067,0.0004590372,0.7473438,0.004383227,0.002264842,0.0005714821,0.05571221,0.03449324,0.001608161,0.03837735,0.1143457,0.0003089879],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6473185,0.01613739,0.08699763,0.0105149,0.000308352,0.004443622,0.05137853,0.001493433,0.1814076],"genre_scores_gemma":[0.9512615,0.00546315,0.02997472,0.0002201605,0.00009519428,0.001597195,0.006236656,0.00009627517,0.005055191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9632876,"threshold_uncertainty_score":0.0985229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07990579328917012,"score_gpt":0.3486514887048828,"score_spread":0.2687456954157127,"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."}}