{"id":"W2090326059","doi":"10.1016/j.anbehav.2012.12.014","title":"Analysing small-scale aggregation in animal visits in space and time: the ST-BBD method","year":2013,"lang":"en","type":"article","venue":"Animal Behaviour","topic":"Primate Behavior and Ecology","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Economic and Social Research Council; National Institutes of Health; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Primate Conservation","keywords":"Scale (ratio); Space (punctuation); Spacetime; Statistics; Geography; Mathematics; Computer science; Physics; Cartography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00207682,0.000388709,0.001041918,0.002777025,0.0004807677,0.0008746986,0.0009643096,0.000555579,0.002242733],"category_scores_gemma":[0.008613116,0.0003515417,0.001136866,0.002840491,0.0006691071,0.0008800514,0.00154876,0.0007294936,0.0006304652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002853596,"about_ca_system_score_gemma":0.0006491056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005810328,"about_ca_topic_score_gemma":0.006239399,"domain_scores_codex":[0.9986326,0.0006434715,0.00008365749,0.0003108425,0.0002265272,0.0001028147],"domain_scores_gemma":[0.990827,0.006473587,0.0005236143,0.001411857,0.0005343099,0.000229603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001134727,0.0004451464,0.1725867,0.0005947492,0.001734747,0.000530707,0.001262268,0.1173808,0.0408151,0.02549814,0.004851867,0.6331651],"study_design_scores_gemma":[0.0000431868,0.0001357761,0.06308796,0.00002982435,0.0001333687,0.0002796004,0.0002681781,0.9126732,0.002347407,0.01795262,0.002995691,0.00005318632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1539062,0.0002802421,0.8429914,0.00005914374,0.00004490511,0.00005326691,0.0005950716,0.0003935705,0.001676088],"genre_scores_gemma":[0.7131968,0.0001830864,0.2826685,0.00003934809,0.00006763908,0.0001811634,0.001510644,0.0002348902,0.001917899],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005810328,"threshold_uncertainty_score":0.01155299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0247312291905511,"score_gpt":0.3291284103950107,"score_spread":0.3043971812044596,"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."}}