{"id":"W6942235367","doi":"10.1371/journal.pone.0233758.t001","title":"Mean face recognition accuracy (<i>d'</i>) scores in Study 1 (personality group) among 2<sup>nd</sup> 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":[0.00097564,0.001374655,0.001038149,0.00143459,0.00117402,0.00128854,0.003245712,0.001555163,0.04365046],"category_scores_gemma":[0.00607053,0.0004469446,0.0009773648,0.002545433,0.0002963292,0.0007837445,0.001043277,0.001128081,0.03018812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003380913,"about_ca_system_score_gemma":0.003906614,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5599468,"about_ca_topic_score_gemma":0.7709772,"domain_scores_codex":[0.9995963,0.00003886065,0.00003443132,0.000126598,0.000108284,0.00009551721],"domain_scores_gemma":[0.9971458,0.0004841652,0.0001997294,0.0003496002,0.00151275,0.0003079162],"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":[0.0001186777,0.00003024855,0.007893236,0.0003095629,0.00005385792,0.00002054109,0.00003107115,0.0001702212,0.00007392876,0.0002205944,0.987816,0.003261987],"study_design_scores_gemma":[0.000768344,0.00006023033,0.221105,0.0009720789,0.0003436869,0.0002199303,0.0005497295,0.001145536,0.0006365053,0.001605783,0.7724692,0.0001239567],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006077226,0.00006261897,0.00003597994,0.0000652403,0.00001619693,0.00001009585,0.9985561,0.00004686211,0.0005992173],"genre_scores_gemma":[0.00198487,0.00005434212,0.0002149379,0.00006631823,0.000006854341,0.00009744887,0.9959841,0.00002336906,0.001567808],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4400532,"threshold_uncertainty_score":0.8852894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.084117553798562,"score_gpt":0.2602499981631438,"score_spread":0.1761324443645818,"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."}}