{"id":"W3155517489","doi":"10.7202/1076191ar","title":"From Ethological Linguistics to Animal Linguistics and Ecolinguistics","year":2021,"lang":"en","type":"article","venue":"Recherches sémiotiques","topic":"Language and cultural evolution","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biosemiotics; Perspective (graphical); Cognitive linguistics; Semiotics; Language and Communication Technologies; Context (archaeology); Cognitive science; Applied linguistics; Linguistics; Psychology; Cognition; Sociology; Ethology; Mainstream; Epistemology; Philosophy; Computer science; Neuroscience; Natural language; Comprehension approach","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":[0.004391765,0.0004561165,0.0005251715,0.003268221,0.001827465,0.005193217,0.0009339289,0.001837678,0.004982589],"category_scores_gemma":[0.005636545,0.0002257532,0.0003286905,0.002355304,0.02998015,0.009726841,0.003247394,0.00319099,0.001026422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002266909,"about_ca_system_score_gemma":0.001934819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001477944,"about_ca_topic_score_gemma":0.001387678,"domain_scores_codex":[0.9973741,0.001850901,0.00009736306,0.000242801,0.0003167707,0.0001181509],"domain_scores_gemma":[0.9946464,0.003742974,0.0003466262,0.0004352539,0.0005089461,0.0003199069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007574029,0.00001144437,0.0004114121,0.0001131811,0.000008012658,0.00007359946,0.002724899,0.0001284516,0.0001152236,0.9829125,0.002902645,0.01059105],"study_design_scores_gemma":[0.000003398738,0.00001084553,0.0006729471,0.0001857313,0.000002526176,0.0001029626,0.002458551,0.0001848324,0.0000788555,0.8946483,0.1016431,0.00000798397],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03404927,0.1788142,0.09142935,0.2889229,0.005126011,0.00006376036,0.0002313307,0.0001796493,0.4011836],"genre_scores_gemma":[0.7982016,0.08409495,0.03088344,0.02811865,0.01192068,0.0002276296,0.0002657993,0.0002114464,0.04607584],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005193217,"threshold_uncertainty_score":0.02322614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1411405786403584,"score_gpt":0.4280668848002693,"score_spread":0.2869263061599109,"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."}}