{"id":"W3186584024","doi":"10.4000/mappemonde.6284","title":"Le palmarès du Mapathon du colloque Tous (im)mobiles, tous cartographes ?","year":2021,"lang":"fr","type":"article","venue":"Mappemonde","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Transports","funders":"Agence Nationale de la Recherche","keywords":"Humanities; Art","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":[0.002023135,0.000532629,0.0002582725,0.001705482,0.005489022,0.01036579,0.000785303,0.001677766,0.03453772],"category_scores_gemma":[0.005448626,0.0003120539,0.0002534385,0.002134644,0.008738947,0.01230135,0.00402365,0.002223651,0.004535914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004849208,"about_ca_system_score_gemma":0.002803615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03445694,"about_ca_topic_score_gemma":0.04670187,"domain_scores_codex":[0.9984627,0.0008941424,0.00002415837,0.0001613244,0.0002710993,0.0001865722],"domain_scores_gemma":[0.9981603,0.0005662911,0.0001426274,0.0003580342,0.0003646218,0.0004081385],"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":[0.00005768338,0.00001430847,0.001410611,0.0001637154,0.00001091027,0.0002616709,0.08903794,0.0002550302,0.0006753669,0.7479993,0.08852211,0.0715915],"study_design_scores_gemma":[0.000005863782,0.00001101406,0.001085117,0.0001894852,0.000005433998,0.0001188049,0.04250903,0.0002364137,0.0002218203,0.02688347,0.9287218,0.00001173825],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0467823,0.01043258,0.03323237,0.1133151,0.003430826,0.00006456325,0.0004080496,0.0006455934,0.7916887],"genre_scores_gemma":[0.6562469,0.007613526,0.01320973,0.004387363,0.001349158,0.0001499735,0.0002358914,0.00130337,0.3155042],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03453772,"threshold_uncertainty_score":0.1155401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08331114519650543,"score_gpt":0.2439340564744551,"score_spread":0.1606229112779497,"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."}}