{"id":"W7034541134","doi":"","title":"Traverser les frontières géographiques et littéraires","year":2019,"lang":"it","type":"article","venue":"Dialnet (Universidad de la Rioja)","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Narrative; Identity (music); Balance (ability); Context (archaeology); Gender relations","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":[0.001065355,0.0003398922,0.0003545364,0.005319315,0.005023656,0.008505012,0.0005727917,0.0007494082,0.01222713],"category_scores_gemma":[0.002408959,0.0002461253,0.0001913541,0.01046239,0.004191717,0.004086455,0.002565702,0.001492702,0.001839422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006422127,"about_ca_system_score_gemma":0.009227265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1068575,"about_ca_topic_score_gemma":0.1943714,"domain_scores_codex":[0.9991078,0.0002103805,0.00004607504,0.0001573512,0.0002980859,0.0001802534],"domain_scores_gemma":[0.9985066,0.0005438613,0.0001602031,0.0002029732,0.0004025865,0.0001837042],"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":[0.0000594927,0.00004433654,0.009135596,0.0008522859,0.000029318,0.001162103,0.0704551,0.0006554587,0.00237447,0.4135096,0.2116325,0.2900897],"study_design_scores_gemma":[9.306504e-7,0.000005132832,0.004401363,0.0001513934,0.000002834835,0.0001908711,0.01082484,0.00003409508,0.0001711163,0.002561445,0.9816487,0.000007314313],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.110227,0.2114508,0.006041458,0.06910216,0.005964107,0.00009303635,0.003175395,0.0005609189,0.5933852],"genre_scores_gemma":[0.5067102,0.1333916,0.007951904,0.004822802,0.002562937,0.000131524,0.002710972,0.0006938649,0.3410242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1068575,"threshold_uncertainty_score":0.2124711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008740048936721244,"score_gpt":0.254622223614356,"score_spread":0.2458821746776348,"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."}}