{"id":"W6926899171","doi":"10.25549/hancock-c82-28702","title":"Seri Indian girl, Tiburón Island, Mexico, 1936","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Migration, Health, Geopolitics, Historical Geography","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Face (sociological concept); Quarter (Canadian coin); Indian ocean; White (mutation)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000407673,0.0009630472,0.0006921171,0.002153837,0.001065371,0.001532543,0.001196178,0.0007654268,0.0492316],"category_scores_gemma":[0.002236365,0.0003231412,0.0004641053,0.004661316,0.0002164937,0.0008379115,0.001115397,0.001051786,0.04619635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001102513,"about_ca_system_score_gemma":0.001509917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1108431,"about_ca_topic_score_gemma":0.2203021,"domain_scores_codex":[0.9997769,0.0000292854,0.00002756375,0.0000620811,0.00005075724,0.00005343178],"domain_scores_gemma":[0.9993953,0.0001198711,0.00007599684,0.00008128853,0.0002461567,0.00008144947],"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":[0.00004293582,0.00001152887,0.00220566,0.0003111696,0.000009488205,0.00002227277,0.00003796133,0.00004543991,0.00002180578,0.0001090018,0.9947412,0.002441603],"study_design_scores_gemma":[0.0001727374,0.00001663808,0.03848776,0.0005408566,0.00002873476,0.00009557476,0.0006413982,0.0001848705,0.0001402617,0.0002570144,0.9594153,0.00001887504],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003824478,0.0001116966,0.00001078773,0.0001008414,0.00002287801,0.000004540294,0.9984859,0.00007385719,0.0008071364],"genre_scores_gemma":[0.001119946,0.0002003694,0.00008134395,0.00005528206,0.00001552435,0.0000491044,0.9967279,0.00002102984,0.001729398],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9507684,"threshold_uncertainty_score":0.2203957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006413468771320817,"score_gpt":0.1886370632987608,"score_spread":0.18222359452744,"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."}}