{"id":"W2944100417","doi":"10.4000/belphegor.1647","title":"Le chercheur face au fandom de SF : retour sur le fil M","year":2019,"lang":"fr","type":"article","venue":"Belphégor","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fandom; Art; Humanities; Theology; Philosophy; Literature","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004030403,0.0003192866,0.0003739502,0.0000519215,0.0002088158,0.001179043,0.0007673718,0.0002501852,0.0001526157],"category_scores_gemma":[0.000260523,0.0002732161,0.0002234997,0.0004216743,0.0001247585,0.003058027,0.0004384788,0.0003271692,0.001929944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002066981,"about_ca_system_score_gemma":0.002050709,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01983305,"about_ca_topic_score_gemma":0.001461077,"domain_scores_codex":[0.9976906,0.0001491697,0.0003316776,0.0005815634,0.0003242065,0.0009227658],"domain_scores_gemma":[0.9983121,0.0001891911,0.0001420664,0.0006985163,0.0002058429,0.0004523201],"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":[0.0001383328,0.001464345,0.002085027,0.0004284919,0.0001812512,0.0003835855,0.03484338,0.001379007,0.03531191,0.6017124,0.2492622,0.07281005],"study_design_scores_gemma":[0.003667772,0.0004332111,0.01737957,0.0002683543,0.00002854614,0.0004255745,0.0009096361,0.0179552,0.02247378,0.01099053,0.924396,0.001071862],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5759713,0.005880449,0.01202249,0.04998294,0.003235933,0.0007115181,0.00005531017,0.0002676572,0.3518724],"genre_scores_gemma":[0.6973966,0.00004416657,0.001355201,0.001098655,0.0002691503,0.000005346147,0.00000756081,0.00002166593,0.2998017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6751338,"threshold_uncertainty_score":0.999972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2484680681541677,"score_gpt":0.2969391076126769,"score_spread":0.0484710394585092,"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."}}