{"id":"W2244513926","doi":"","title":"Performance industrielle - Alfa Laval monte en lean","year":2011,"lang":"es","type":"article","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.008527442,0.00243066,0.001151885,0.002149567,0.00209867,0.009888484,0.0008799022,0.002320666,0.0102214],"category_scores_gemma":[0.005961882,0.0004527192,0.001314403,0.001447735,0.001358059,0.002030168,0.001963409,0.003700478,0.003214314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01398781,"about_ca_system_score_gemma":0.01090816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09597951,"about_ca_topic_score_gemma":0.06594886,"domain_scores_codex":[0.992147,0.001967969,0.00017651,0.0006925749,0.004334073,0.0006818863],"domain_scores_gemma":[0.9971043,0.0007993499,0.0002306857,0.000264153,0.001111238,0.0004901497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002630678,0.001694432,0.01390841,0.0006256909,0.0003788556,0.0006763983,0.001287933,0.09747298,0.01686793,0.292756,0.05619477,0.5155059],"study_design_scores_gemma":[0.0006340339,0.001278645,0.06731409,0.001455847,0.0001880085,0.0007602242,0.002634431,0.08293466,0.03750574,0.04437368,0.7606294,0.0002912871],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3721924,0.03709837,0.05782553,0.02197496,0.004926625,0.0002233574,0.001890204,0.002453416,0.5014153],"genre_scores_gemma":[0.7892563,0.01101908,0.04205807,0.0007624766,0.001280792,0.000170804,0.001577781,0.0006362121,0.1532384],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09597951,"threshold_uncertainty_score":0.1908417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01887533711540055,"score_gpt":0.1862904029601014,"score_spread":0.1674150658447008,"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."}}