{"id":"W4391665361","doi":"","title":"Coordinating Analyses of Tuning with Analyses of Pieces","year":2016,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009214836,0.0009112886,0.001149758,0.003569349,0.002424527,0.01028536,0.002446739,0.001821414,0.008989931],"category_scores_gemma":[0.03042234,0.001121996,0.001739298,0.00251813,0.01415456,0.01585874,0.01054737,0.004182335,0.001131453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002631905,"about_ca_system_score_gemma":0.001698987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001675318,"about_ca_topic_score_gemma":0.002013867,"domain_scores_codex":[0.9858055,0.006132936,0.0009751956,0.003983279,0.002153953,0.0009491646],"domain_scores_gemma":[0.9812913,0.009906531,0.001623142,0.005032365,0.001720357,0.0004262967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003959267,0.00004029798,0.003112701,0.0003057441,0.00008531276,0.0003901985,0.02754609,0.00154255,0.0162388,0.8711798,0.001252769,0.07790983],"study_design_scores_gemma":[0.00003350924,0.00006521546,0.009139646,0.0001752545,0.00007428531,0.0002117641,0.008179509,0.006368559,0.007061143,0.9333858,0.03520009,0.0001052023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1150717,0.001265154,0.7093675,0.003548337,0.000394841,0.0002173427,0.0003712352,0.001052793,0.1687111],"genre_scores_gemma":[0.8178077,0.0005366012,0.1706519,0.0005624411,0.0003236349,0.0002587768,0.0003720076,0.001265887,0.008221139],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01028536,"threshold_uncertainty_score":0.04873329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2587049645654638,"score_gpt":0.5263124627830033,"score_spread":0.2676074982175394,"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."}}