{"id":"W6941909662","doi":"10.1371/journal.pone.0233758.t002","title":"Mean face recognition accuracy (&lt;i&gt;d'&lt;/i&gt;) scores in Study 2 (University affiliation) among 2&lt;sup&gt;nd&lt;/sup&gt; generation and 1&lt;sup&gt;st&lt;/sup&gt; generation East Asian Canadian participants.","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"East Asia; Facial recognition system; Face (sociological concept); Feature (linguistics)","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":[],"consensus_categories":[],"category_scores_codex":[0.001065332,0.00131692,0.00100426,0.001284389,0.00108455,0.001318002,0.00322757,0.001442854,0.07429101],"category_scores_gemma":[0.007005563,0.0004467783,0.0009720367,0.002106092,0.0003011803,0.0009922571,0.001200491,0.001142961,0.04908579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00246744,"about_ca_system_score_gemma":0.002921429,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3056775,"about_ca_topic_score_gemma":0.5645407,"domain_scores_codex":[0.9995814,0.00004722912,0.00003966602,0.0001282992,0.0001103868,0.00009309927],"domain_scores_gemma":[0.9971161,0.0005915902,0.0002080331,0.00038069,0.001430951,0.0002727234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001062934,0.0000308112,0.005912056,0.0002839014,0.00004097902,0.00001452556,0.00003113861,0.0001356213,0.00006913215,0.0002611858,0.9894343,0.00367991],"study_design_scores_gemma":[0.0006800983,0.00006339739,0.1447187,0.0008236954,0.0002629679,0.0001710868,0.0006204155,0.0009026364,0.0005855569,0.001917826,0.8491458,0.0001078022],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005498705,0.00005717547,0.00004956578,0.00007430735,0.00002234683,0.00001347009,0.9983894,0.00005457121,0.0007894972],"genre_scores_gemma":[0.00213921,0.00005413453,0.0002808081,0.00008044196,0.000008904331,0.0001498126,0.9946948,0.00003264538,0.002559226],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6943225,"threshold_uncertainty_score":0.6077965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06061732316745842,"score_gpt":0.2321306079404717,"score_spread":0.1715132847730133,"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."}}