{"id":"W220743655","doi":"","title":"Ishi in Three Centuries","year":2007,"lang":"en","type":"article","venue":"Canadian journal of native studies","topic":"Archaeology and Natural History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Ignorance; History; White (mutation); Art history; Law; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0008722129,0.0007484672,0.0007489959,0.001780473,0.003766952,0.00887247,0.0007771897,0.001794742,0.02497142],"category_scores_gemma":[0.001201945,0.0004445717,0.0003273964,0.003021644,0.00294852,0.005260937,0.00472272,0.003467129,0.007726634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003879334,"about_ca_system_score_gemma":0.003613382,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0066002,"about_ca_topic_score_gemma":0.01358445,"domain_scores_codex":[0.9993384,0.0001518792,0.00003885707,0.0001061994,0.0001902878,0.0001744081],"domain_scores_gemma":[0.9997074,0.00006215498,0.00003475112,0.00003947308,0.00007355627,0.00008256773],"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":[0.00007707619,0.0000620339,0.00107764,0.0006242431,0.0000143807,0.000338986,0.02192395,0.00009906363,0.0002477995,0.207843,0.4705274,0.2971644],"study_design_scores_gemma":[0.000001376201,0.000005415316,0.000441675,0.0003446869,0.000002354264,0.00009485157,0.002530565,0.000009235558,0.00003361647,0.003053236,0.9934789,0.000004254542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.005949561,0.4901974,0.0007542322,0.02316571,0.0192739,0.00003307049,0.0003015694,0.0001383644,0.4601863],"genre_scores_gemma":[0.1076687,0.3068502,0.002297184,0.009786989,0.005858279,0.0001100039,0.0007943686,0.0002857486,0.5663487],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9933998,"threshold_uncertainty_score":0.08353776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05177511481858973,"score_gpt":0.3499574958798505,"score_spread":0.2981823810612607,"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."}}