{"id":"W6981570078","doi":"","title":"ÉPISODE #10 - RICHARD GOULET ET MICHEL MÉNARD","year":2020,"lang":"fr","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Michel foucault; Immanence; Privilege (computing); Relation (database); Order (exchange)","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":[],"consensus_categories":[],"category_scores_codex":[0.000982452,0.0005777409,0.0006635076,0.000711665,0.009763874,0.004870659,0.001011659,0.004821837,0.1366341],"category_scores_gemma":[0.00786963,0.0004472008,0.0005397748,0.0009610692,0.001623002,0.003311746,0.004102562,0.009386163,0.04128236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008451571,"about_ca_system_score_gemma":0.006724515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1126647,"about_ca_topic_score_gemma":0.2572849,"domain_scores_codex":[0.9982322,0.0003359046,0.00007609212,0.0002444098,0.0005627231,0.0005487329],"domain_scores_gemma":[0.9978403,0.000253575,0.0001298024,0.0001008346,0.0005965377,0.001078936],"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":[0.00003137802,0.00002332388,0.0006918675,0.00005121166,0.000003409348,0.000953347,0.002443005,0.00001564291,0.00007549446,0.00375794,0.9857121,0.006241282],"study_design_scores_gemma":[0.000009128972,0.00001377034,0.001393597,0.0001866687,0.000003629987,0.001132707,0.004669373,0.0000354658,0.0001245966,0.001272162,0.9911454,0.00001340829],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02689648,0.009157372,0.001956762,0.3881454,0.04028262,0.0005518605,0.00627437,0.001090518,0.5256446],"genre_scores_gemma":[0.08118206,0.00432584,0.0005779465,0.08514585,0.004217494,0.0002889738,0.003025621,0.0007760128,0.8204601],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1366341,"threshold_uncertainty_score":0.4570864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008252922182366777,"score_gpt":0.2009635308409869,"score_spread":0.1927106086586201,"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."}}