{"id":"W6911855827","doi":"10.5281/zenodo.14879744","title":"A novel robotic reaching task to advance the assessment of approach-avoidance tendencies through kinematic analysis: Scripts and data","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Scripting language; Task (project management); MATLAB; Kinematics; Sample (material); Data file; Software","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":[0.0007003914,0.001264295,0.0006288499,0.0006745842,0.0003472453,0.0006478421,0.001016473,0.0005071851,0.07380717],"category_scores_gemma":[0.002234228,0.00043587,0.0005009541,0.0004874906,0.0002428301,0.0005767231,0.001227106,0.0006518373,0.02777807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002680876,"about_ca_system_score_gemma":0.0009032001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001404483,"about_ca_topic_score_gemma":0.003105632,"domain_scores_codex":[0.9995143,0.00005738884,0.00005382526,0.0001536842,0.0001880375,0.00003276985],"domain_scores_gemma":[0.9990608,0.0003096281,0.00007231972,0.0002034677,0.0002723769,0.00008143557],"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":[0.003416208,0.001185699,0.004567875,0.002349379,0.0001598485,0.0005789838,0.0009124252,0.009712178,0.1934627,0.003575529,0.2272782,0.552801],"study_design_scores_gemma":[0.001381803,0.005222215,0.1219779,0.0006808068,0.0003616,0.003737821,0.0005771902,0.1209699,0.2491278,0.01628011,0.4789611,0.0007216559],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.08841772,0.0003789808,0.6341254,0.0004049535,0.0007004045,0.006616222,0.1520943,0.07218169,0.0450803],"genre_scores_gemma":[0.1361818,0.0003721643,0.6472377,0.000525332,0.0001020779,0.02312075,0.1153081,0.0198247,0.05732737],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07380717,"threshold_uncertainty_score":0.2469096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0700656350208461,"score_gpt":0.3203956741797859,"score_spread":0.2503300391589398,"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."}}