{"id":"W4388470229","doi":"10.1016/b978-0-323-90801-6.00139-7","title":"Antipredator specializations: Body inflation","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Biology; Goby; Predation; Ecology; Beak; Zoology; Fishery; Fish <Actinopterygii>","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":[0.0001772215,0.0003641446,0.0002274262,0.0004149851,0.0001639977,0.00102449,0.0002676935,0.0004300192,0.02504941],"category_scores_gemma":[0.0004739584,0.0001959092,0.0001301601,0.0004305668,0.0004237274,0.001010283,0.000456105,0.0004650776,0.002908287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002629158,"about_ca_system_score_gemma":0.0001388258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007824349,"about_ca_topic_score_gemma":0.001132628,"domain_scores_codex":[0.9999565,0.000006672351,0.000002511841,0.00001257334,0.00001624401,0.00000551729],"domain_scores_gemma":[0.9998591,0.0000720411,0.00002227696,0.00001218836,0.00001887972,0.00001551526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001180795,0.00004786561,0.01398385,0.0002585208,0.00004136518,0.0004242867,0.0005215285,0.002111372,0.02014568,0.1022707,0.03751663,0.8225602],"study_design_scores_gemma":[0.00002783385,0.0001922286,0.2869209,0.0003902806,0.0001002708,0.00694706,0.0008901304,0.01433607,0.006941122,0.3627153,0.3204611,0.00007768573],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1515338,0.02809385,0.0227045,0.00327499,0.0004619395,0.00002338578,0.0006475616,0.0005204693,0.7927395],"genre_scores_gemma":[0.6260454,0.01346365,0.007777303,0.0006825636,0.000671793,0.00004524165,0.000492099,0.000242444,0.3505794],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02504941,"threshold_uncertainty_score":0.08379865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01422120255805885,"score_gpt":0.2245596458908838,"score_spread":0.2103384433328249,"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."}}