{"id":"W2583318478","doi":"","title":"Ellipse Fitting for Planar Hip Morphology and Kinematics","year":2017,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Hip disorders and treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ellipse; Kinematics; Planar; Morphology (biology); Geometry; Materials science; Computer science; Mathematics; Geology; Physics; Computer graphics (images); Classical mechanics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002267352,0.00166075,0.001027428,0.003941266,0.0004962779,0.002059604,0.001076274,0.001183093,0.009991627],"category_scores_gemma":[0.01658501,0.0009077131,0.001409413,0.003320739,0.0004894683,0.0011816,0.00131431,0.0009892479,0.004639985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005905078,"about_ca_system_score_gemma":0.001281135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004855982,"about_ca_topic_score_gemma":0.004550194,"domain_scores_codex":[0.9979924,0.0003842244,0.0002061194,0.0006527844,0.0006247438,0.0001397311],"domain_scores_gemma":[0.9954849,0.001730433,0.0005530172,0.0007925378,0.001356528,0.00008259677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005603008,0.000289882,0.0147683,0.000514008,0.0002146635,0.00024548,0.0008452846,0.1163417,0.04631767,0.005391835,0.007608654,0.8069022],"study_design_scores_gemma":[0.00006523095,0.000240413,0.0346336,0.0001120239,0.00008413816,0.0007042686,0.0003985194,0.8968309,0.03237416,0.003706182,0.03065483,0.0001957204],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05275765,0.0002890382,0.9307237,0.00008611126,0.00009111988,0.0003377211,0.00114617,0.01087647,0.003691982],"genre_scores_gemma":[0.2508352,0.000395715,0.7368504,0.00005516527,0.00003447854,0.0006099386,0.003470861,0.003052773,0.004695483],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009991627,"threshold_uncertainty_score":0.03342527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01179151336367646,"score_gpt":0.2358163488050022,"score_spread":0.2240248354413258,"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."}}