{"id":"W3106880061","doi":"","title":"“If a Cutie, Then Always Misha”","year":2020,"lang":"sl","type":"article","venue":"Znanstvena založba Filozofske fakultete","topic":"Race, History, and American Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","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":[0.003098406,0.0005827298,0.0004146635,0.0008580842,0.0121197,0.005456748,0.0008797504,0.004887666,0.0104853],"category_scores_gemma":[0.008212668,0.0003339489,0.0003097104,0.0006475578,0.01404501,0.005396146,0.002910786,0.009970401,0.00337823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002695237,"about_ca_system_score_gemma":0.004043391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02379649,"about_ca_topic_score_gemma":0.05273504,"domain_scores_codex":[0.9972008,0.001115189,0.000115637,0.0004791603,0.000454949,0.000634214],"domain_scores_gemma":[0.998772,0.0003044364,0.0001579758,0.0001472765,0.0004137015,0.0002045582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001050349,0.00004076867,0.003879533,0.0001053384,0.00002476091,0.0003191144,0.04389022,0.00005124668,0.0006205832,0.6853262,0.2427661,0.02287114],"study_design_scores_gemma":[0.00001904686,0.00003701816,0.003969893,0.0002492729,0.00002132739,0.00037331,0.03334145,0.00008882599,0.0005267875,0.04324163,0.9180818,0.00004967764],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05227641,0.01184351,0.005824327,0.4737666,0.0134481,0.0001012841,0.0004353457,0.000229048,0.4420754],"genre_scores_gemma":[0.5425568,0.002790176,0.003332366,0.1439375,0.002229941,0.0001818656,0.0001749997,0.0002110019,0.3045853],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02379649,"threshold_uncertainty_score":0.04731596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02710671724235839,"score_gpt":0.2671441941637885,"score_spread":0.2400374769214301,"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."}}