{"id":"W3010733287","doi":"10.1016/j.cub.2020.01.008","title":"Motor Control: Swim Harder, Faster, Stronger","year":2020,"lang":"en","type":"letter","venue":"Current Biology","topic":"Zebrafish Biomedical Research Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Biology; Zebrafish; Neuroscience; Dopamine; Spinal cord; Stimulation; Motor activity; Motor neuron; Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000122099,0.0004372609,0.0004830356,0.0001039518,0.00009324585,0.0000397266,0.000968488,0.001082802,0.0002871643],"category_scores_gemma":[0.0004517347,0.0003881777,0.0002968083,0.0001232218,0.0005518411,0.000002226768,0.0004075938,0.001624174,0.0006269379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003743849,"about_ca_system_score_gemma":0.0003142668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007615407,"about_ca_topic_score_gemma":0.000003679275,"domain_scores_codex":[0.9971365,0.0002734807,0.0004214727,0.001085057,0.0002563157,0.0008272209],"domain_scores_gemma":[0.9985057,0.00007936898,0.0001890215,0.0007829938,0.0001624913,0.0002804198],"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":[0.0000411002,0.00004525908,0.0001343861,0.00007834876,0.000145496,0.00001189017,0.000002669477,6.855964e-8,0.05206592,0.00002880588,0.929723,0.01772303],"study_design_scores_gemma":[0.0007665459,0.0004162377,0.00008590972,0.00001851705,0.00004296593,0.000006769823,0.000002175518,0.00002447293,0.001107636,0.00022629,0.9969324,0.0003700287],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0008950726,0.01146658,0.02082361,0.9577771,0.002128853,0.001664745,0.004008322,0.0001164001,0.001119299],"genre_scores_gemma":[0.02517059,0.003442586,0.00044282,0.8932167,0.03334972,0.001542954,0.03852182,0.0002499533,0.004062883],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06720942,"threshold_uncertainty_score":0.999857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0313464266795939,"score_gpt":0.3233582410078757,"score_spread":0.2920118143282818,"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."}}