{"id":"W6931677574","doi":"10.5683/sp3/uevzed","title":"Disability and Deafhood Database","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Intimidation; Character (mathematics); Production (economics); CLIPS; Data source; Video production; Social media","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009391033,0.001210997,0.001101512,0.005577563,0.001164666,0.002551951,0.002036446,0.001615943,0.1356953],"category_scores_gemma":[0.007056151,0.0003925309,0.0007935181,0.007021414,0.0003389922,0.001446474,0.002437776,0.001267434,0.1045191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001512617,"about_ca_system_score_gemma":0.003743439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03514371,"about_ca_topic_score_gemma":0.0654999,"domain_scores_codex":[0.9990897,0.0001148677,0.0001673326,0.0002046922,0.0002519015,0.0001715139],"domain_scores_gemma":[0.9973918,0.0006476608,0.0002016574,0.0004803344,0.0009029044,0.0003755361],"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":[0.00006036532,0.00002109741,0.0009741378,0.0008900478,0.00001459744,0.00004915099,0.00005810239,0.00008208392,0.0001044073,0.0007820194,0.990024,0.006940001],"study_design_scores_gemma":[0.00005763482,0.00001191186,0.005039467,0.0004181807,0.00001613383,0.0000830061,0.0002486307,0.000121072,0.0001537806,0.0006298418,0.9932021,0.00001828471],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002295418,0.00008852209,0.00007354377,0.00006475185,0.00002424439,0.00002468179,0.997104,0.0001237304,0.002266921],"genre_scores_gemma":[0.0006248552,0.00009962381,0.0002554008,0.00004928149,0.000007269761,0.0001200243,0.9970919,0.00003912547,0.001712462],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1356953,"threshold_uncertainty_score":0.4539461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03531166380449594,"score_gpt":0.3112059697168192,"score_spread":0.2758943059123232,"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."}}