{"id":"W6888516268","doi":"10.21227/kezn-a764","title":"Kinova Gen3 First 3 DOF Dataset for Dynamics Estimation","year":2024,"lang":"en","type":"dataset","venue":"IEEE DataPort","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Artificial neural network; Generalization; Representation (politics); Nonlinear system; Mean squared error; Experimental data; Degrees of freedom (physics and chemistry); System dynamics; Control theory (sociology)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001234063,0.001120001,0.001029124,0.0008377943,0.0002876229,0.0005732312,0.002549372,0.0008291475,0.0007628169],"category_scores_gemma":[0.0004216515,0.001163921,0.0002506653,0.0007514898,0.000222319,0.0008541936,0.0006304404,0.001026864,0.132641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000902381,"about_ca_system_score_gemma":0.0005922104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001316367,"about_ca_topic_score_gemma":0.01219309,"domain_scores_codex":[0.9945273,0.00004625682,0.001330548,0.001994137,0.00112061,0.0009811382],"domain_scores_gemma":[0.9930829,0.0002463286,0.0007972356,0.005381548,0.0001845507,0.0003073716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001004494,0.000145864,0.000001708989,0.002405813,0.0003782632,0.0004317627,0.000005720062,0.0003290635,0.000004987434,0.00002413466,0.9958254,0.0003468995],"study_design_scores_gemma":[0.0005464248,0.00008934006,0.000005599629,0.0003789346,0.00164508,0.0002510654,0.000008643479,0.02003286,0.00002069852,0.0002035024,0.9756188,0.001199011],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000004653093,0.0001193202,0.001285504,0.0001537107,0.004889138,0.002033913,0.9911892,0.0002990852,0.00002541727],"genre_scores_gemma":[0.000002915302,0.00007657891,0.002418167,0.0002268316,0.001590294,0.0006280359,0.9944941,0.000390897,0.0001721447],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1318782,"threshold_uncertainty_score":0.9990811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03379399450203641,"score_gpt":0.3371093837694543,"score_spread":0.3033153892674179,"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."}}