{"id":"W4391826012","doi":"","title":"« \"The Railroad Earth\" : une exploration sonore des hospitalités du monde des trains »","year":2023,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Heritage","funders":"","keywords":"Earth (classical element); Train; Computer science; Telecommunications; Geography; Physics; Archaeology","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":[0.001187853,0.0004749131,0.0002519197,0.001694139,0.005869399,0.01238627,0.0007811543,0.002498343,0.0214956],"category_scores_gemma":[0.002645937,0.00016346,0.0003349741,0.003980092,0.009302811,0.006597218,0.003976207,0.002399571,0.001054877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00796372,"about_ca_system_score_gemma":0.006255607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07585119,"about_ca_topic_score_gemma":0.1306145,"domain_scores_codex":[0.9993318,0.000318355,0.00001186188,0.00007083011,0.0001125062,0.0001546914],"domain_scores_gemma":[0.9990849,0.0004114125,0.0001223964,0.00005025803,0.0001334788,0.0001974575],"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":[0.0001157289,0.00002916409,0.007311075,0.0004958642,0.00002102059,0.0007693961,0.2055448,0.0005905325,0.0006845728,0.6124052,0.09127965,0.08075296],"study_design_scores_gemma":[0.000006700211,0.00002956502,0.008930883,0.0005311592,0.00001075702,0.0003665975,0.2186803,0.0002704964,0.0001911848,0.02779356,0.7431606,0.00002821758],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2656763,0.04075864,0.00922216,0.2022935,0.005302783,0.00006122026,0.001191137,0.0001713259,0.475323],"genre_scores_gemma":[0.8848025,0.01556355,0.001795616,0.003629636,0.001422813,0.00004026251,0.0002597069,0.0001253435,0.09236062],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07585119,"threshold_uncertainty_score":0.1508194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1254193975501502,"score_gpt":0.2699808450571548,"score_spread":0.1445614475070046,"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."}}