{"id":"W4394576076","doi":"10.1016/j.cjca.2024.03.001","title":"Springing Forward in 2024","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Springing; Medicine; Structural engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001883203,0.00005555442,0.0001756021,0.0003810179,0.00001026153,0.00002624681,0.00008216029,0.00005416712,0.00004925592],"category_scores_gemma":[0.00002216428,0.0000523655,0.00009269217,0.0001196535,0.0000175502,0.00005627709,0.000001914717,0.000237257,0.00003574223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001529062,"about_ca_system_score_gemma":0.000199159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007847452,"about_ca_topic_score_gemma":0.0008600839,"domain_scores_codex":[0.9995326,0.0000199192,0.0001785387,0.00004360299,0.00003305398,0.0001922171],"domain_scores_gemma":[0.9997143,0.00002640592,0.000007600348,0.00005237202,0.00001761011,0.0001817357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001698882,1.670174e-7,0.004690997,0.00003983829,0.0001541365,0.001533048,0.0002148736,0.9238093,0.0001905562,0.003213835,0.02701051,0.039141],"study_design_scores_gemma":[0.0003786859,0.00004083258,0.01029238,0.000158043,0.00003669433,0.001014497,0.0001318348,0.03268614,0.00004100901,0.001544463,0.953506,0.0001694027],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1236825,0.03804482,0.4825726,0.004663904,0.03242731,0.0002706434,0.00001759233,0.0001407539,0.3181799],"genre_scores_gemma":[0.9990747,0.00005024736,0.00008431916,0.00003462828,0.0005951668,9.762778e-7,2.28777e-7,0.00001147559,0.0001482859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9264955,"threshold_uncertainty_score":0.2135403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006017936544076999,"score_gpt":0.1913052944768432,"score_spread":0.1852873579327662,"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."}}