{"id":"W4221039295","doi":"10.1007/s10764-022-00289-9","title":"A Mathematical Modelling Approach to Functionally Defining Forest Edge and Its Utility for Primate Behavioural Edge Effects","year":2022,"lang":"en","type":"article","venue":"International Journal of Primatology","topic":"Primate Behavior and Ecology","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Primate; Animal ecology; Transect; Forest fragmentation; Enhanced Data Rates for GSM Evolution; Geography; Ecology; Cartography; Biology; Computer science; Artificial intelligence; Habitat","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009255637,0.0001968784,0.0005048912,0.0003909737,0.000189676,0.00003608054,0.0005861188,0.000122923,0.0003754285],"category_scores_gemma":[0.0001519631,0.0001946801,0.0001864048,0.00009015646,0.00006161878,0.0001376252,0.0003512072,0.0004337082,0.00003309039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001900314,"about_ca_system_score_gemma":0.0001248548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007097014,"about_ca_topic_score_gemma":0.000002259305,"domain_scores_codex":[0.9979479,0.0001898683,0.000762203,0.000330766,0.000365631,0.0004036645],"domain_scores_gemma":[0.9984572,0.0004453028,0.0004118934,0.000148066,0.0003699038,0.0001676266],"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":[0.005824072,0.004345929,0.1690288,0.0002492162,0.001159067,0.0005619224,0.005871908,0.005203842,0.001161951,0.7926799,0.007520166,0.00639321],"study_design_scores_gemma":[0.04192365,0.009716775,0.4028177,0.0002743836,0.002476533,0.1260527,0.005636678,0.2063245,0.001838504,0.1711376,0.02815318,0.00364778],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.863232,0.0003833293,0.1297289,0.0006864148,0.002921049,0.0004399326,0.00006500333,0.00002860302,0.002514763],"genre_scores_gemma":[0.9881771,0.000004549942,0.01076911,0.0004567299,0.0001209754,0.0002557396,0.00004058658,0.00003251794,0.0001427242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6215423,"threshold_uncertainty_score":0.7938824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06569941766284464,"score_gpt":0.3469863610289163,"score_spread":0.2812869433660716,"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."}}