{"id":"W4206074599","doi":"10.1139/z2012-017","title":"Advances in insect physiology and endocrinology through genomics, peptidomics, and related technologies / Progrès en physiologie et endocrinologie des insectes découlant de la génomique, de la peptidomique et des technologies connexes","year":2012,"lang":"fr","type":"article","venue":"Canadian Journal of Zoology","topic":"Neurobiology and Insect Physiology Research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Biology; Genomics; Physiology; Genome; Genetics; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001536649,0.0008121185,0.0006198667,0.0009972584,0.0003680168,0.001564617,0.0003625908,0.0006264114,0.003099743],"category_scores_gemma":[0.0006953239,0.0002601242,0.000495728,0.0009060981,0.001098919,0.001799478,0.0006368953,0.00148793,0.0005036374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009947271,"about_ca_system_score_gemma":0.001526529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003256335,"about_ca_topic_score_gemma":0.005812758,"domain_scores_codex":[0.9996661,0.00007775759,0.00002050832,0.00007063952,0.0001267004,0.00003828485],"domain_scores_gemma":[0.9993187,0.0002670293,0.0001081595,0.00005054891,0.0001519709,0.0001034987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007073411,0.0001825027,0.0107679,0.001273132,0.0001230761,0.0003095173,0.0003175583,0.001065747,0.6023545,0.01537037,0.001417954,0.3661105],"study_design_scores_gemma":[0.000232515,0.00253284,0.2112387,0.0007073344,0.0006473219,0.004057606,0.001830472,0.00632702,0.4634027,0.04800546,0.2607433,0.0002747393],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.4199275,0.3484766,0.1531318,0.02578412,0.001225613,0.0001928654,0.002013555,0.0007088983,0.04853898],"genre_scores_gemma":[0.5033763,0.2932366,0.1805671,0.003725538,0.001869217,0.0001436053,0.001023717,0.0001101288,0.01594775],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003256335,"threshold_uncertainty_score":0.01036966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03318657853696279,"score_gpt":0.3117010194564344,"score_spread":0.2785144409194716,"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."}}