{"id":"W4244007179","doi":"10.4000/transatlantica.7216","title":"Winogrand","year":2014,"lang":"de","type":"article","venue":"Transatlantica","topic":"Nietzsche, Schopenhauer, and Hegel","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","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":[0.000396545,0.001058546,0.0004272175,0.001483713,0.003349494,0.005132497,0.0006462818,0.001724183,0.5218206],"category_scores_gemma":[0.001783429,0.0004318227,0.000321337,0.001513134,0.0009495617,0.003829326,0.003186266,0.001789427,0.2114973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001716406,"about_ca_system_score_gemma":0.002014928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01318802,"about_ca_topic_score_gemma":0.03535824,"domain_scores_codex":[0.9993124,0.000069831,0.00002964844,0.0002413664,0.0002388385,0.0001078843],"domain_scores_gemma":[0.9995071,0.0001057395,0.00005036771,0.00007221581,0.0001345521,0.0001300781],"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":[0.0002526285,0.00005662092,0.001582848,0.0003597684,0.00001583576,0.001192373,0.001455353,0.0002502527,0.002324406,0.09087107,0.5087049,0.3929339],"study_design_scores_gemma":[0.000003987895,0.000007358584,0.0005345326,0.00007846201,0.000002302876,0.0002595081,0.0002801797,0.00003778096,0.0003191661,0.001433285,0.9970386,0.000004916561],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004124693,0.005498491,0.001387427,0.004635047,0.001458756,0.00003829119,0.001261502,0.0004907381,0.9811049],"genre_scores_gemma":[0.01113828,0.002697488,0.0009400416,0.0004445933,0.00007937045,0.00002488496,0.0004073543,0.0002886468,0.9839792],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5218206,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02133079026393829,"score_gpt":0.2261332871786227,"score_spread":0.2048024969146844,"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."}}