{"id":"W6899143888","doi":"10.58079/pw5j","title":"Adapter un mémoire universitaire et ses annexes à une lecture sur écran","year":2020,"lang":"fr","type":"article","venue":"Industrias Culturais (Universidade de Coimbra)","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Adapter (computing); Control (management); Identification (biology); Set (abstract data type)","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":[0.003472759,0.0005575779,0.000371788,0.001363972,0.003016809,0.007459249,0.0006043951,0.001480235,0.05042496],"category_scores_gemma":[0.008120091,0.0003085725,0.000422054,0.001504268,0.001815491,0.005365344,0.003626066,0.003045143,0.01773754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004605246,"about_ca_system_score_gemma":0.00478264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009870461,"about_ca_topic_score_gemma":0.02463637,"domain_scores_codex":[0.9972536,0.0008581728,0.0001194431,0.0003934979,0.001037271,0.000338038],"domain_scores_gemma":[0.9967899,0.0006770843,0.0001365804,0.0002626667,0.001448604,0.0006852276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001653781,0.0002284118,0.002739518,0.0006361447,0.00001943972,0.001184994,0.04479437,0.0006633506,0.009080692,0.1447714,0.2904514,0.5052649],"study_design_scores_gemma":[0.000001939054,0.00002060813,0.0007563282,0.0001319989,0.000002223493,0.0001691378,0.002697265,0.00008147028,0.000745865,0.0008746339,0.9945073,0.00001128834],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.07534165,0.03773529,0.05035698,0.1105089,0.05874886,0.0003342567,0.001135876,0.002273066,0.6635652],"genre_scores_gemma":[0.1313421,0.01177604,0.01285427,0.003966253,0.003452476,0.0001708853,0.0005611546,0.0007370464,0.8351398],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05042496,"threshold_uncertainty_score":0.1686883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1264259021872949,"score_gpt":0.2599782149630222,"score_spread":0.1335523127757273,"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."}}