{"id":"W7036697309","doi":"","title":"CHA Annual Meeting / Réunion annuelle de la SHC","year":2020,"lang":"en","type":"article","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000301968,0.0001855905,0.0002831919,0.0000825763,0.0003460767,0.00003587071,0.0004262544,0.0001837976,0.0002488531],"category_scores_gemma":[0.00007760098,0.0002130239,0.00006578614,0.0001223644,0.000271851,0.0004464227,0.0003674554,0.000210005,0.00003795524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007169883,"about_ca_system_score_gemma":0.00005266025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005354945,"about_ca_topic_score_gemma":0.0005888782,"domain_scores_codex":[0.9982867,0.0003835495,0.0002598698,0.0005985165,0.0002025814,0.0002687951],"domain_scores_gemma":[0.9986411,0.000181635,0.0002998521,0.0004984557,0.0001024034,0.0002765419],"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":[0.002277037,0.001358126,0.06552994,0.0004015822,0.001644148,0.003609209,0.01262247,0.00004700031,0.008974893,0.004598475,0.7896509,0.1092862],"study_design_scores_gemma":[0.006168256,0.0005321403,0.06424051,0.0002100273,0.0005933602,0.0004076545,0.014797,0.0005141075,0.0007557311,0.0002555356,0.9108104,0.0007152878],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7958019,0.002159112,0.001371922,0.003184946,0.0007953533,0.0005829105,0.001399384,0.0002663435,0.1944381],"genre_scores_gemma":[0.9927725,0.0008544073,0.000412902,0.0002646766,0.0002093737,8.028784e-7,0.0003626318,0.00001976008,0.005102955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1969706,"threshold_uncertainty_score":0.8686862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01640730996682391,"score_gpt":0.257018804469392,"score_spread":0.2406114945025681,"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."}}