{"id":"W4248781873","doi":"10.1007/978-3-662-53120-4_300763","title":"Shape Distortion","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Distortion (music); Computer science; Materials science; Telecommunications","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":[0.0001594494,0.0009158114,0.0004792266,0.0009838917,0.000528215,0.001517657,0.0009179697,0.0006737264,0.07110106],"category_scores_gemma":[0.0005723434,0.0003357657,0.0004451183,0.001000109,0.0006734395,0.0009990704,0.00114208,0.001106409,0.05211097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000637143,"about_ca_system_score_gemma":0.0005335988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009250172,"about_ca_topic_score_gemma":0.001261375,"domain_scores_codex":[0.9996996,0.00001323583,0.00000862146,0.00006464333,0.0001950044,0.00001899204],"domain_scores_gemma":[0.9997949,0.00001947373,0.00001124161,0.00006910248,0.00009133087,0.0000140241],"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":[0.00006091804,0.00002834576,0.0001485598,0.0002846435,0.00001356761,0.0001222517,0.00006748745,0.004400737,0.03007532,0.1189765,0.08801521,0.7578064],"study_design_scores_gemma":[0.00001042273,0.00007429862,0.0005932232,0.00008413181,0.00001742288,0.001489221,0.00005473141,0.008876469,0.0273674,0.02391159,0.9374902,0.00003088726],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.003493123,0.006925835,0.1860606,0.0007234212,0.001741373,0.0001031937,0.0005422488,0.002139225,0.7982711],"genre_scores_gemma":[0.04311066,0.007767614,0.04327469,0.0005506136,0.0003773398,0.00005478974,0.001188372,0.0009365667,0.9027395],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.07110106,"threshold_uncertainty_score":0.2378567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01918731337452268,"score_gpt":0.1956499459311618,"score_spread":0.1764626325566391,"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."}}