{"id":"W1990733316","doi":"10.1523/jneurosci.3841-09.2009","title":"The Nitric Oxide/cGMP Pathway Tunes the Thermosensitivity of Swimming Motor Patterns in<i>Xenopus laevis</i>Tadpoles","year":2009,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences","keywords":"Snap; Nitric oxide; Xenopus; Soluble guanylyl cyclase; Nitric oxide synthase; NMDA receptor; Stimulation; Central pattern generator; Inhibitory postsynaptic potential; Internal medicine; Chemistry; Endocrinology; Biology; Pharmacology; Anesthesia; Neuroscience; Guanylate cyclase; Rhythm; Medicine; Biochemistry; Receptor","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":[0.00005707988,0.0001808951,0.0001634145,0.0001090732,0.0001037106,0.0001724562,0.0001379591,0.0001918536,0.000766011],"category_scores_gemma":[0.00008352965,0.0001182475,0.0001502774,0.00004525963,0.000177134,0.000152191,0.0001410421,0.0003327226,0.0001588516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002151311,"about_ca_system_score_gemma":0.0000632403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001174505,"about_ca_topic_score_gemma":0.0018009,"domain_scores_codex":[0.9999647,0.000004381896,0.000003473175,0.00001264746,0.00000475439,0.000009994949],"domain_scores_gemma":[0.9999394,0.00001050502,0.00002310049,0.000004230891,0.000006659338,0.00001597608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002160637,0.000001656033,0.000162921,0.000007751022,9.934125e-7,0.00001265084,0.00000835522,0.00002027369,0.9995263,0.00001243324,0.000004512021,0.0002207512],"study_design_scores_gemma":[0.00002290064,0.000402783,0.0694379,0.000009687978,0.00002411444,0.000193244,0.00007165379,0.001630941,0.9269341,0.00005885672,0.00120177,0.00001215367],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986859,0.0002279751,0.0005782591,0.00002581617,0.000003952271,0.000005662377,0.0001038508,0.00002284455,0.0003458408],"genre_scores_gemma":[0.9977177,0.0002037954,0.0007904312,0.00003566177,0.00000360631,0.00002496259,0.0001890778,0.00001628501,0.001018447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001174505,"threshold_uncertainty_score":0.002562582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01757323946262681,"score_gpt":0.2241684051831151,"score_spread":0.2065951657204883,"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."}}