{"id":"W2041962007","doi":"10.1371/journal.pone.0065063","title":"Subspace Identification and Classification of Healthy Human Gait","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Gait Recognition and Analysis","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Support vector machine; Pattern recognition (psychology); Principal component analysis; Artificial intelligence; Linear discriminant analysis; Subspace topology; Discriminant; Computer science; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007888257,0.0005228033,0.0004317636,0.001420032,0.0002062163,0.0003621134,0.0001338441,0.0002582166,0.001512907],"category_scores_gemma":[0.00226374,0.000106938,0.0004445573,0.0007884604,0.0003165332,0.0002869952,0.0003209182,0.0002197999,0.0004435188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001966518,"about_ca_system_score_gemma":0.0003311028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001790721,"about_ca_topic_score_gemma":0.001202187,"domain_scores_codex":[0.9995746,0.0001202654,0.00003630588,0.0001007762,0.0001228521,0.00004515905],"domain_scores_gemma":[0.999321,0.000247537,0.00007931694,0.0000586077,0.0002520504,0.00004146383],"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":[0.001270366,0.0003303986,0.0390658,0.0004341894,0.0002254752,0.0002413656,0.0003597192,0.04043468,0.06597356,0.001125475,0.001692542,0.8488464],"study_design_scores_gemma":[0.00009289687,0.001508981,0.2416971,0.0001102153,0.0001335501,0.001163873,0.0004186441,0.7159454,0.02906845,0.006380774,0.003400599,0.00007945535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6854447,0.001116276,0.3102107,0.000117325,0.00008047034,0.0001356925,0.0005633028,0.0006483383,0.001683183],"genre_scores_gemma":[0.9480819,0.0002557373,0.0502294,0.00001480335,0.00002615216,0.00006169238,0.0006194967,0.0000301013,0.0006806985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001790721,"threshold_uncertainty_score":0.005061209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05269528487634448,"score_gpt":0.2348634000248132,"score_spread":0.1821681151484687,"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."}}