{"id":"W3174984465","doi":"10.15083/00073953","title":"Bioinformatics for Understanding Animal Behavior","year":2016,"lang":"en","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Institute of Genetics; University of Tokyo; Research Organization of Information and Systems","keywords":"Computer science; Biology; Data science; Computational biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001917829,0.001161105,0.001141417,0.002757969,0.0007454726,0.002604526,0.001886633,0.001014535,0.02015458],"category_scores_gemma":[0.007538249,0.000516193,0.001872803,0.003083164,0.0004723199,0.002169369,0.001485003,0.001782656,0.01326605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00104297,"about_ca_system_score_gemma":0.002211809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004539319,"about_ca_topic_score_gemma":0.005005572,"domain_scores_codex":[0.9986911,0.0002641491,0.0001270597,0.0003930866,0.0004213332,0.0001032678],"domain_scores_gemma":[0.9965574,0.001436374,0.0003482299,0.00101315,0.0004185224,0.00022638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001337627,0.0004168725,0.02040006,0.002167657,0.0008013175,0.000593038,0.0003227371,0.03914074,0.02546154,0.1044874,0.5730176,0.2318535],"study_design_scores_gemma":[0.0004363505,0.000196887,0.01309879,0.0003407344,0.0004424481,0.0005716303,0.0001700682,0.2881212,0.0265468,0.2252532,0.4446667,0.0001552609],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01227396,0.001438359,0.4661915,0.002693272,0.0004325055,0.0004673481,0.2868288,0.2124192,0.01725504],"genre_scores_gemma":[0.1122542,0.002173162,0.3837055,0.001661947,0.0002889469,0.001224472,0.4820171,0.009761248,0.006913487],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02015458,"threshold_uncertainty_score":0.06742376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05000302103608078,"score_gpt":0.3101459133552147,"score_spread":0.2601428923191339,"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."}}