{"id":"W4237883070","doi":"10.1007/978-1-4939-7131-2_100565","title":"Kinship Analysis","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Kinship; Geography; Sociology; Anthropology","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":[0.0006689174,0.0003397797,0.0003985891,0.002491105,0.001210054,0.001077492,0.0006351159,0.0002338353,0.1039547],"category_scores_gemma":[0.00242948,0.0001554901,0.0005097757,0.003097841,0.0003650695,0.0009448873,0.0009033383,0.0006862156,0.01691396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008276264,"about_ca_system_score_gemma":0.0007405688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008275749,"about_ca_topic_score_gemma":0.01262548,"domain_scores_codex":[0.9996167,0.0001088108,0.00001353869,0.000116746,0.00009082987,0.0000532487],"domain_scores_gemma":[0.9995095,0.0001766794,0.00002992406,0.0001077173,0.0001385761,0.00003766973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001099667,0.00008017715,0.01788934,0.0002274102,0.0001535266,0.0001516918,0.001409584,0.003950643,0.001203515,0.2433927,0.1398455,0.5915859],"study_design_scores_gemma":[0.0000213287,0.0000637397,0.07793911,0.0002543347,0.0001681555,0.0007265788,0.003647068,0.01818597,0.002283453,0.2244496,0.6722081,0.00005275873],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07333782,0.003892615,0.1732816,0.001461255,0.0005705884,0.0002922583,0.01881008,0.000981879,0.727372],"genre_scores_gemma":[0.4650263,0.00222626,0.07137706,0.0002857449,0.0002325571,0.0003005214,0.01864517,0.0005668154,0.4413396],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1039547,"threshold_uncertainty_score":0.3477631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08609298173472664,"score_gpt":0.3241768892174449,"score_spread":0.2380839074827183,"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."}}