{"id":"W6925621578","doi":"10.17910/b7.1387","title":"EmoGoals","year":2021,"lang":"en","type":"dataset","venue":"","topic":"Big Data Technologies and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Zoom; Face (sociological concept); Relation (database); Object (grammar); Perspective (graphical)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005201012,0.0008057691,0.000401235,0.0007750785,0.0005112822,0.000629108,0.0007506647,0.0007398478,0.02520638],"category_scores_gemma":[0.004229054,0.0001896657,0.0007409902,0.000680675,0.0001544251,0.0007435597,0.0008585001,0.0009224846,0.02430424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004250603,"about_ca_system_score_gemma":0.0004134769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0111373,"about_ca_topic_score_gemma":0.03048788,"domain_scores_codex":[0.9996834,0.0000765499,0.00003877703,0.00008253819,0.00007040219,0.00004843889],"domain_scores_gemma":[0.998472,0.0005429231,0.0001293635,0.0003070376,0.0003877304,0.0001609654],"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":[0.001779847,0.0005296335,0.04997868,0.001593735,0.0001567824,0.0002094095,0.0005195921,0.0007800782,0.0009092283,0.001240738,0.8982402,0.04406211],"study_design_scores_gemma":[0.0008441448,0.0006420749,0.3238421,0.0006977422,0.0001931605,0.0006936373,0.001686857,0.003431479,0.002604748,0.002998347,0.6622646,0.000101101],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05931164,0.0005840237,0.001070011,0.0004487781,0.000181735,0.000304566,0.9183301,0.001220934,0.01854832],"genre_scores_gemma":[0.05304101,0.0002310646,0.002601208,0.0003245436,0.00004622482,0.0009960874,0.9308065,0.0002012483,0.01175205],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02520638,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3676709742955122,"score_gpt":0.4450665742409883,"score_spread":0.07739559994547612,"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."}}