{"id":"W7036363052","doi":"","title":"Changé – Les Morandières","year":2020,"lang":"fr","type":"other","venue":"Industrias Culturais (Universidade de Coimbra)","topic":"Sports Dynamics and Biomechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prospection; Work (physics); Telmatology; Domain (mathematical analysis)","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","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001302364,0.0008940608,0.0008481106,0.0004457392,0.0002382989,0.0002166646,0.0008347502,0.002378496,0.019745],"category_scores_gemma":[0.00007111328,0.0009600374,0.0004104725,0.001117226,0.0001563803,0.000196199,0.0002213682,0.00157973,0.0008644304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008446891,"about_ca_system_score_gemma":0.000193716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002861928,"about_ca_topic_score_gemma":0.001618161,"domain_scores_codex":[0.9974466,0.00007701611,0.0003749697,0.0007475262,0.0004240966,0.00092981],"domain_scores_gemma":[0.9985255,0.00006624109,0.0002773661,0.0004551256,0.00008291759,0.0005928253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002145824,0.0002516618,0.0007317113,0.000932101,0.002976009,0.00404352,0.003902666,0.004239907,0.02433724,0.1212277,0.7023934,0.1347496],"study_design_scores_gemma":[0.001569465,0.0001166552,0.007599568,0.0006076099,0.0004658522,0.0001053552,0.002207508,0.02124557,0.0007265857,0.0001181652,0.9637957,0.001441934],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02420304,0.005159833,0.007813805,0.04685079,0.0064385,0.002222813,0.002842903,0.002119107,0.9023492],"genre_scores_gemma":[0.1154454,0.001881937,0.003895063,0.0005754519,0.004584549,0.00003231915,0.001417884,0.00113484,0.8710325],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2614024,"threshold_uncertainty_score":0.9999135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02146031195760021,"score_gpt":0.2101278473055102,"score_spread":0.18866753534791,"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."}}