{"id":"W2899286529","doi":"10.1002/jez.b.22829","title":"From gene list to gene network: Recognizing functional connections that regulate behavioral traits","year":2018,"lang":"en","type":"article","venue":"Journal of Experimental Zoology Part B Molecular and Developmental Evolution","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gene; Biology; Gene regulatory network; Computational biology; Genetics; Sociobiology; Biological network; Systems biology; Gene expression; Evolutionary biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001128815,0.0006135254,0.0003785944,0.004605955,0.000986253,0.002853362,0.0007693395,0.0007894999,0.005422636],"category_scores_gemma":[0.005854802,0.0002702358,0.000525987,0.003337828,0.002650995,0.006665729,0.001382403,0.001370139,0.001216659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009070954,"about_ca_system_score_gemma":0.0005052292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001869844,"about_ca_topic_score_gemma":0.002670352,"domain_scores_codex":[0.9994234,0.0002290647,0.00004627025,0.0001688035,0.00009988467,0.00003267643],"domain_scores_gemma":[0.9976229,0.001628841,0.0001894618,0.0002605063,0.0001819637,0.0001163482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000494819,0.00009342614,0.02321846,0.001635525,0.0001575562,0.001450377,0.007403682,0.01047836,0.05078438,0.4637412,0.03612834,0.4044139],"study_design_scores_gemma":[0.00003407934,0.0001691378,0.02187257,0.0005763088,0.0001716002,0.002982757,0.003959986,0.05218705,0.0146181,0.6662239,0.2370497,0.0001548185],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07545697,0.005753689,0.874645,0.0138554,0.0007040785,0.0002143529,0.006706201,0.002958425,0.019706],"genre_scores_gemma":[0.3383761,0.007305099,0.6349808,0.002339517,0.0005050793,0.00050015,0.005362639,0.0009143648,0.009716349],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005422636,"threshold_uncertainty_score":0.01814049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06053531625971815,"score_gpt":0.2497092248866129,"score_spread":0.1891739086268948,"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."}}