{"id":"W7033065501","doi":"","title":"Performance des piÃ¨ces coulÃ©es selon le procÃ©dÃ© de la mousse perdue Ã  partir des alliages Al-Mg-Si et Al-Cu","year":2010,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Scientific Research and Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistical analysis; Context (archaeology); Rail transportation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001516727,0.0005023767,0.0004704826,0.00004338325,0.001083574,0.0001751648,0.0007080987,0.00009697198,0.001671663],"category_scores_gemma":[0.0000338988,0.0004426318,0.00007113013,0.0001736145,0.003162698,0.0007611772,0.0005759729,0.0005610973,2.894531e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005493112,"about_ca_system_score_gemma":0.001863126,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02695728,"about_ca_topic_score_gemma":0.3744202,"domain_scores_codex":[0.9949446,0.0003349702,0.0003880265,0.0007041237,0.002604271,0.001024063],"domain_scores_gemma":[0.9981339,0.0005591392,0.0002389581,0.0003852452,0.000001468022,0.0006812916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004327748,0.0002857094,0.6289467,0.00100661,0.0003237999,0.0002588565,0.001997112,0.0003959999,0.1357028,0.009226655,0.1184316,0.1029913],"study_design_scores_gemma":[0.0003421406,0.0001421195,0.3097146,0.0003669371,0.00002752303,0.00002287553,0.003395001,0.0027259,0.04170675,0.0007624355,0.6402739,0.0005197685],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5178269,0.00178288,0.0000237118,0.008099969,0.0001812408,0.0002958331,0.0002695541,0.00001595275,0.471504],"genre_scores_gemma":[0.6805462,0.01167317,0.002862822,0.002134907,0.00004982077,0.00005006426,0.00001219239,0.0000844417,0.3025864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5218424,"threshold_uncertainty_score":0.9998025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005038075277685189,"score_gpt":0.1810661950842458,"score_spread":0.1760281198065606,"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."}}