{"id":"W4232402473","doi":"10.1007/978-1-4614-6170-8_110040","title":"Kinship Analysis","year":2014,"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; 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":[0.0006130286,0.0003419771,0.0004035723,0.002434357,0.001148859,0.001022638,0.000630918,0.0002211915,0.1042954],"category_scores_gemma":[0.002179365,0.0001576445,0.000490986,0.00294996,0.0003820467,0.0009182303,0.0008827165,0.0006712244,0.01622103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008095414,"about_ca_system_score_gemma":0.0007471655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008443195,"about_ca_topic_score_gemma":0.01341091,"domain_scores_codex":[0.9996349,0.0001039028,0.0000121927,0.0001112423,0.00008843544,0.00004937435],"domain_scores_gemma":[0.9995738,0.0001505819,0.00002661581,0.00009547089,0.000121288,0.00003227455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0000932941,0.00007071375,0.01535338,0.0002030605,0.0001390577,0.0001336794,0.001215283,0.003764429,0.00104413,0.2661775,0.1343388,0.5774666],"study_design_scores_gemma":[0.00001938064,0.00005488021,0.06619518,0.0002316828,0.0001571829,0.0006706648,0.003252637,0.01668033,0.002010317,0.249084,0.6615969,0.00004682221],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06381106,0.003843975,0.1745954,0.001374656,0.0005148264,0.0002700575,0.01597448,0.0009051476,0.7387104],"genre_scores_gemma":[0.433834,0.002183272,0.07108752,0.0002785479,0.000216729,0.0002796713,0.01594065,0.0005258244,0.4756538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1042954,"threshold_uncertainty_score":0.3489028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06557050338089307,"score_gpt":0.3053872736056085,"score_spread":0.2398167702247154,"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."}}