{"id":"W2937826639","doi":"","title":"Comparing statistical methods for analyzing human limb trajectories of goal-directed movements","year":2017,"lang":"en","type":"article","venue":"","topic":"Gaussian Processes and Bayesian Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Trajectory; Computer science; Bayesian probability; Artificial intelligence; Action (physics); Gaussian process; Movement (music); Machine learning; Regression; Prior information; Process (computing); Cognitive psychology; Psychology; Statistics; Gaussian; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003513758,0.0001167293,0.0002781863,0.00006042982,0.0004451828,0.000365613,0.001091256,0.00003808846,0.00002422663],"category_scores_gemma":[0.0002189795,0.00009817748,0.0000522962,0.00008054927,0.00008999771,0.0004145411,0.0002405399,0.00006437473,0.000001475617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001585313,"about_ca_system_score_gemma":0.00004340238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001508204,"about_ca_topic_score_gemma":0.00005195614,"domain_scores_codex":[0.9990107,0.00003857145,0.0002912775,0.0002995251,0.0001181591,0.0002417738],"domain_scores_gemma":[0.9987883,0.0001748654,0.0002254707,0.0005850279,0.0001505743,0.00007578131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001378604,0.0001073166,0.03837414,0.00017461,0.00007298117,0.000001843155,0.0003687578,0.0000067162,0.01083774,0.8775432,0.0002261108,0.07227279],"study_design_scores_gemma":[0.001263545,0.0004764569,0.5024696,0.0001149602,0.00004079624,0.000003009701,0.00005989251,0.2349897,0.08210169,0.1772052,0.0007069139,0.0005681326],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007277359,0.00002220857,0.9873977,0.00007195493,0.0001426177,0.0001251961,0.000004514308,0.0000972891,0.004861161],"genre_scores_gemma":[0.5233857,0.000001461408,0.4764159,0.00001217631,0.00001501751,0.000008309039,0.000001755936,0.000003467463,0.0001562176],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.700338,"threshold_uncertainty_score":0.4003561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06021948722488511,"score_gpt":0.3948667719970301,"score_spread":0.334647284772145,"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."}}