{"id":"W7025394571","doi":"","title":"Ãtude sur la fissuration à chaud de l'alliage 6061 lors du soudage par procédé hybride laser-GMAW","year":2008,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Materials testing; Fourth generation; Base (topology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0003685548,0.0002911765,0.0002738799,0.0002968914,0.0004723096,0.0004907668,0.0002416621,0.0004871127,0.002440404],"category_scores_gemma":[0.0004321626,0.0002339145,0.0003537916,0.0002175397,0.0003244374,0.0004111671,0.0002297523,0.0004449628,0.0003413314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004602305,"about_ca_system_score_gemma":0.0002634939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003808952,"about_ca_topic_score_gemma":0.007389253,"domain_scores_codex":[0.9997045,0.00001285581,0.00000795746,0.00006638016,0.00016377,0.00004443223],"domain_scores_gemma":[0.9996619,0.0001083073,0.00004740549,0.00002829421,0.0001334846,0.00002060872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001179076,0.00001422161,0.001189209,0.0001145082,0.0000097495,0.0001137345,0.0002884188,0.0007381423,0.9856758,0.0002396244,0.0001495062,0.01134921],"study_design_scores_gemma":[0.000008392017,0.0004126378,0.01070044,0.00001888807,0.00002718098,0.0001762661,0.0002039883,0.001760757,0.9786831,0.00004984846,0.007942024,0.00001652194],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9918635,0.001645575,0.003162537,0.00004725315,0.00003134429,0.00001439509,0.00009960778,0.0001031201,0.003032691],"genre_scores_gemma":[0.987193,0.0008165651,0.003963707,0.00002830524,0.000005308961,0.00002018718,0.0001514281,0.00004783988,0.007773801],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.003808952,"threshold_uncertainty_score":0.008163929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002742212275928948,"score_gpt":0.1340834273563793,"score_spread":0.1313412150804504,"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."}}