{"id":"W2174533161","doi":"10.1650/0010-5422(2006)108[485:acn]2.0.co;2","title":"Animal Communication Networks","year":2006,"lang":"en","type":"article","venue":"Ornithological Applications","topic":"Neuroendocrine regulation and behavior","field":"Psychology","cited_by":94,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Biology; Zoology; Geography","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":[0.000237616,0.0002829355,0.0001851622,0.001110529,0.0005187246,0.001367972,0.0003919581,0.000702856,0.01810739],"category_scores_gemma":[0.002011076,0.0001726326,0.0001594965,0.0009526229,0.0005356258,0.001884382,0.0007723987,0.0005357964,0.003842584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004483209,"about_ca_system_score_gemma":0.00029024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008479333,"about_ca_topic_score_gemma":0.0007237624,"domain_scores_codex":[0.9997888,0.00004804533,0.000007704331,0.0000651408,0.00006793872,0.00002235191],"domain_scores_gemma":[0.9992474,0.0003011316,0.00009917802,0.0001446988,0.0001414727,0.00006606636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001130566,0.00004659052,0.003541601,0.0002462761,0.00006158911,0.0004052426,0.0004122042,0.01746368,0.01694534,0.6116768,0.04711482,0.3019727],"study_design_scores_gemma":[0.00001810433,0.00004807342,0.004802941,0.00008462396,0.00004820059,0.0007499738,0.0002775441,0.06564539,0.003686116,0.5715742,0.3530381,0.00002656597],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.104888,0.007228266,0.4436185,0.008191522,0.002035469,0.0002322138,0.003824148,0.001612391,0.4283694],"genre_scores_gemma":[0.8073474,0.005607696,0.04584723,0.0007684555,0.0009268661,0.0003084711,0.003138504,0.0001659728,0.1358894],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01810739,"threshold_uncertainty_score":0.06057525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02422773511847255,"score_gpt":0.3252677140499026,"score_spread":0.3010399789314301,"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."}}