{"id":"W7039484296","doi":"","title":"Mise au point et validation d’une approche terrain de prédiction des chargements au dos basée sur des données de laboratoire","year":2022,"lang":"fr","type":"article","venue":"","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Moment (physics); Validation test; Order (exchange)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.003508615,0.0002907747,0.0002488269,0.0002274298,0.001890425,0.0007615759,0.0006646747,0.00009112895,0.0004518916],"category_scores_gemma":[0.000336362,0.0003091579,0.0000961113,0.001034992,0.0001962025,0.002960803,0.0005327668,0.0003031119,0.00004471336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001330085,"about_ca_system_score_gemma":0.001371453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001611961,"about_ca_topic_score_gemma":0.0001812305,"domain_scores_codex":[0.9971108,0.0004317496,0.0007486015,0.0003823152,0.0005683729,0.0007581684],"domain_scores_gemma":[0.9983855,0.0001333477,0.0005133869,0.0003820554,0.0003731044,0.000212596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003464433,0.001039776,0.009124865,0.003691904,0.0001150719,0.00001385747,0.6975303,0.01647155,0.001378709,0.08892777,0.007032684,0.1746389],"study_design_scores_gemma":[0.000872863,0.0002001556,0.002290685,0.0004032753,0.00003795125,0.0001485837,0.01333544,0.9292917,0.006425122,0.03347143,0.01303041,0.0004923582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2502316,0.0001767915,0.7355642,0.002416898,0.0005577781,0.0002967076,0.000009307224,0.0002152927,0.01053139],"genre_scores_gemma":[0.8121477,0.00007285862,0.177557,0.002062488,0.0002296004,0.0001138551,0.00005174046,0.0000349777,0.007729836],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9128202,"threshold_uncertainty_score":0.999936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1037973992653164,"score_gpt":0.2682613490077376,"score_spread":0.1644639497424212,"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."}}