{"id":"W4239822304","doi":"10.4000/amerika.7681","title":"Anatole Broyard, Kafka faisait fureur","year":2016,"lang":"fr","type":"article","venue":"Amerika","topic":"Franz Kafka Literary Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","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":[0.000657046,0.0005424362,0.0002991844,0.0005525303,0.004086115,0.003212726,0.000553464,0.001191678,0.009805215],"category_scores_gemma":[0.0007826012,0.0002246754,0.0001653521,0.0004822366,0.003046637,0.002131863,0.001208848,0.001995127,0.003418309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003451512,"about_ca_system_score_gemma":0.001942531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03024523,"about_ca_topic_score_gemma":0.04775074,"domain_scores_codex":[0.9995458,0.0001413184,0.0000173171,0.0001146993,0.0000966658,0.00008424606],"domain_scores_gemma":[0.9997874,0.0000818253,0.00003188893,0.00001970392,0.00004790891,0.00003127566],"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":[0.0003635918,0.00005788883,0.004267623,0.0005186031,0.00003893521,0.001774589,0.09294424,0.0001953582,0.003153767,0.3710763,0.4128576,0.1127514],"study_design_scores_gemma":[0.000003711222,0.00000597988,0.001761184,0.00007724622,0.000003772074,0.0002217433,0.004482841,0.00001429517,0.0003252371,0.001548931,0.9915474,0.000007646035],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08318802,0.2467517,0.00299385,0.1263111,0.01299177,0.00004187531,0.0008709746,0.0002091246,0.5266416],"genre_scores_gemma":[0.5492776,0.03094759,0.001708198,0.00850397,0.0009465071,0.0000384393,0.0003247239,0.0001940713,0.4080589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03024523,"threshold_uncertainty_score":0.0601384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01206627504516228,"score_gpt":0.2055636428564593,"score_spread":0.1934973678112971,"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."}}