{"id":"W6936667070","doi":"10.58079/o89u","title":"The Transcribathon in Summary","year":2016,"lang":"en","type":"article","venue":"OpenEdition (OpenEdition)","topic":"Law in Society and Culture","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Selection (genetic algorithm); Work (physics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001563492,0.00149475,0.0009808242,0.001985086,0.002644758,0.00504243,0.001317963,0.001283015,0.7512321],"category_scores_gemma":[0.01044738,0.0005943227,0.0005687418,0.001505386,0.0005907369,0.002424022,0.003615579,0.002271305,0.661699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009696453,"about_ca_system_score_gemma":0.001543465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00233266,"about_ca_topic_score_gemma":0.005242558,"domain_scores_codex":[0.9987233,0.0002603111,0.00008062539,0.0002342426,0.0005518222,0.0001496826],"domain_scores_gemma":[0.9931207,0.001172488,0.0001544391,0.001279211,0.003132912,0.001140118],"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":[0.00006845914,0.00001188135,0.00003807208,0.00008454623,0.000001072612,0.00003770443,0.0001281793,0.00002014903,0.0004549508,0.0003732659,0.9736403,0.02514145],"study_design_scores_gemma":[0.00002873322,0.00003086033,0.0005625289,0.00008528454,0.000002471796,0.00006025542,0.0004146906,0.0001396871,0.00071363,0.0007779221,0.9971621,0.00002179906],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002804322,0.0005276913,0.01863121,0.005628339,0.04272233,0.002103279,0.08711324,0.04532727,0.7951423],"genre_scores_gemma":[0.008332606,0.0003162413,0.009535876,0.00140908,0.004057493,0.001570003,0.03202486,0.01646919,0.9262847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7512321,"threshold_uncertainty_score":0.3548371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01765880095158026,"score_gpt":0.2671889954063997,"score_spread":0.2495301944548195,"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."}}