{"id":"W3162039461","doi":"","title":"La Langue de Maylis de Kerangal : « Étirer l’espace, allonger le temps »","year":2017,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Language, Linguistics, Cultural Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Heritage","funders":"","keywords":"Political 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":[0.0006008035,0.0006174195,0.000265676,0.0008030005,0.002881736,0.003878616,0.0004985169,0.0008059665,0.008582251],"category_scores_gemma":[0.001361556,0.0002525862,0.0001972973,0.00171079,0.002483576,0.00213573,0.001764499,0.001931215,0.00184501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005447438,"about_ca_system_score_gemma":0.005210119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09851763,"about_ca_topic_score_gemma":0.09769491,"domain_scores_codex":[0.999421,0.0002382891,0.00003709297,0.00008011999,0.0001092565,0.0001143619],"domain_scores_gemma":[0.9995331,0.000182319,0.00007078305,0.0000413089,0.00009356703,0.00007902658],"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":[0.0009326217,0.0001561656,0.01741298,0.001434116,0.0001358765,0.007607013,0.1612353,0.001309843,0.0321441,0.5443124,0.03735571,0.195964],"study_design_scores_gemma":[0.00004280941,0.00006546538,0.03489824,0.0002056784,0.00004168057,0.002351516,0.03438094,0.0007109335,0.005345749,0.005643657,0.9162161,0.00009715618],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6237016,0.01318976,0.009777855,0.01929583,0.001155419,0.0001383774,0.001614926,0.0005656722,0.3305605],"genre_scores_gemma":[0.9574602,0.002044983,0.003114711,0.00062741,0.00008267166,0.00005382842,0.0003462472,0.0001235232,0.03614638],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09851763,"threshold_uncertainty_score":0.1958884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0172628035938389,"score_gpt":0.2351196043717728,"score_spread":0.2178568007779339,"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."}}