{"id":"W6989202101","doi":"","title":"Analyse et modélisation de la performance en Boccia","year":2023,"lang":"fr","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Order (exchange); Clientelism","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":[0.002052857,0.00130783,0.0006696107,0.001787452,0.0007986109,0.003863314,0.002090293,0.001625636,0.007340064],"category_scores_gemma":[0.005511398,0.0006840905,0.001631108,0.001738604,0.001011999,0.001365415,0.001242974,0.001641398,0.001611304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006280527,"about_ca_system_score_gemma":0.006621811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3216963,"about_ca_topic_score_gemma":0.1812542,"domain_scores_codex":[0.998823,0.0002619317,0.00008512771,0.0003103738,0.0003747478,0.0001448767],"domain_scores_gemma":[0.9979634,0.001015755,0.0001417436,0.0001195041,0.0006909311,0.00006872998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001592678,0.0001238969,0.01261568,0.0003067699,0.00009230485,0.0001988276,0.0006903527,0.9493225,0.002285975,0.007147942,0.001912756,0.02514371],"study_design_scores_gemma":[0.00001627809,0.0000662268,0.005212321,0.0000991214,0.0000455121,0.00003177387,0.0002766635,0.9823616,0.001491333,0.002763914,0.007607204,0.00002793851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.536137,0.002113885,0.3834231,0.003555317,0.0003153282,0.001181262,0.01908846,0.006618974,0.04756663],"genre_scores_gemma":[0.8784767,0.000994534,0.09072893,0.000131679,0.00003222637,0.0009520457,0.01104982,0.0002837816,0.01735027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3216963,"threshold_uncertainty_score":0.6396477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01054319784345832,"score_gpt":0.2557970307993961,"score_spread":0.2452538329559378,"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."}}