{"id":"W7002092912","doi":"","title":"The McGill Face Database: A Novel Database of Facial Expressions of Mental States","year":2019,"lang":"en","type":"other","venue":"PEARL (University of Plymouth)","topic":"Literature and Culture Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Face (sociological concept); Facial expression; Facial recognition system; 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":[0.0006045463,0.001437612,0.0008711971,0.002921787,0.0005887984,0.001186593,0.001951737,0.001249995,0.02597897],"category_scores_gemma":[0.003434709,0.0003803032,0.0006641355,0.002201795,0.0002772956,0.001043917,0.001848584,0.0007124314,0.02534844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007329891,"about_ca_system_score_gemma":0.00112694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04035195,"about_ca_topic_score_gemma":0.078849,"domain_scores_codex":[0.9993325,0.0000782611,0.00007055403,0.0001412737,0.0002915483,0.00008586173],"domain_scores_gemma":[0.999153,0.0001695131,0.00006066529,0.0002781668,0.0002252764,0.0001133868],"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":[0.0005283937,0.0002175979,0.005751098,0.0007750317,0.0001057081,0.0004969302,0.0001703872,0.001315811,0.006554594,0.00174576,0.8290195,0.1533191],"study_design_scores_gemma":[0.0003123578,0.0002398175,0.09395359,0.0003776683,0.0001856019,0.002826565,0.0007170091,0.02726398,0.01514052,0.004382489,0.8543175,0.0002829657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02795735,0.002310944,0.01426377,0.0004286072,0.0003598126,0.0007371282,0.9252527,0.009595329,0.01909429],"genre_scores_gemma":[0.05693101,0.001003966,0.01583225,0.0003220095,0.0001217147,0.001213154,0.9097807,0.0006687136,0.01412642],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04035195,"threshold_uncertainty_score":0.08690834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02342861134498064,"score_gpt":0.2097143847405728,"score_spread":0.1862857733955922,"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."}}