{"id":"W4307137620","doi":"10.1111/amet.13107","title":"Capture‐recapture","year":2022,"lang":"en","type":"article","venue":"American Ethnologist","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Mark and recapture; Dehumanization; Population; Geography; Demography; 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":[0.004324725,0.0008924081,0.0007616719,0.002029389,0.001011129,0.001129366,0.002756902,0.0007684628,0.01771837],"category_scores_gemma":[0.007070678,0.000467957,0.000757158,0.001930546,0.0004738911,0.0007126263,0.001297283,0.001005063,0.0112584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007431662,"about_ca_system_score_gemma":0.0009135446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01067409,"about_ca_topic_score_gemma":0.01692928,"domain_scores_codex":[0.9962727,0.0009798447,0.0003449148,0.001183956,0.0009562206,0.0002624968],"domain_scores_gemma":[0.9953794,0.0009206245,0.001007149,0.00159334,0.0009860835,0.0001133459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006835127,0.0004493302,0.2828342,0.001851595,0.001215797,0.0008122249,0.002289163,0.004797493,0.00848951,0.01657197,0.1266167,0.5533885],"study_design_scores_gemma":[0.0002004711,0.001533518,0.4161973,0.0009121345,0.001025843,0.003611083,0.001012128,0.01369964,0.01759516,0.006367316,0.5374935,0.0003519727],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.2547487,0.008624075,0.2911628,0.001989756,0.002025424,0.01153648,0.2412087,0.005377945,0.1833262],"genre_scores_gemma":[0.6015602,0.003478656,0.1519222,0.0031347,0.0003780291,0.01233907,0.08425965,0.0004443385,0.142483],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01771837,"threshold_uncertainty_score":0.05927384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009035995208393946,"score_gpt":0.255871715415549,"score_spread":0.2468357202071551,"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."}}