{"id":"W4237651012","doi":"10.1007/978-3-319-12529-9_4","title":"Curve-Fitting","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Curve fitting; Nonparametric statistics; Population; Randomness; Parametric equation; Learning curve; Parametric statistics; Mathematics; Statistics; Computer science; Geometry","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":[0.0007427343,0.002171111,0.001532661,0.002130326,0.0009885447,0.002644615,0.002869021,0.002042391,0.1033193],"category_scores_gemma":[0.003206925,0.0008644002,0.00140146,0.003165445,0.0009622322,0.003157772,0.002618958,0.002664974,0.08081941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009022893,"about_ca_system_score_gemma":0.0009633115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003157641,"about_ca_topic_score_gemma":0.002840842,"domain_scores_codex":[0.9988641,0.00009074528,0.00004502207,0.0003431349,0.0005875661,0.00006952529],"domain_scores_gemma":[0.9991696,0.0001767814,0.00003370333,0.0002799093,0.0003016244,0.00003847691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004714261,0.00004577082,0.00021891,0.0002373752,0.00002865759,0.00007379674,0.00008206855,0.02292507,0.003258754,0.05137957,0.07672678,0.8449761],"study_design_scores_gemma":[0.00001685175,0.0000602713,0.0004988974,0.0002243977,0.000038636,0.0006384435,0.0001134334,0.170455,0.0115159,0.09420484,0.7221447,0.00008865148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001727468,0.00224883,0.8420396,0.0003737687,0.0006029374,0.0001109783,0.0007193493,0.009254611,0.1429226],"genre_scores_gemma":[0.05077575,0.005279645,0.5374671,0.0005050574,0.0004459448,0.0001974036,0.004924146,0.01082559,0.3895794],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1033193,"threshold_uncertainty_score":0.3456374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007900682242455437,"score_gpt":0.1763286103683044,"score_spread":0.168427928125849,"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."}}