{"id":"W1778528205","doi":"10.1093/jmammal/gyv084","title":"Measuring variation in the frequency of group fission and fusion from continuous monitoring of group sizes","year":2015,"lang":"en","type":"article","venue":"Journal of Mammalogy","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Norges Forskningsråd","keywords":"Fission; Variation (astronomy); Fusion; Population; Group (periodic table); Statistics; Demography; Mathematics; Physics; Nuclear physics; Neutron","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001068071,0.0000493049,0.0001511568,0.000041028,0.00002584628,0.000004155616,0.0001229794,0.00007087612,0.00003520307],"category_scores_gemma":[0.0002163047,0.00003484447,0.00002339525,0.00008028348,0.00005577005,0.0002046267,0.00003936109,0.0001219659,0.000001428337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004293315,"about_ca_system_score_gemma":0.0000100542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007802768,"about_ca_topic_score_gemma":0.0001677337,"domain_scores_codex":[0.9991105,0.0002081786,0.0003438962,0.00006648428,0.000197703,0.00007321654],"domain_scores_gemma":[0.9992944,0.0001976934,0.0003875041,0.00006878683,0.00002248066,0.00002913553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006447492,0.0000550122,0.9406613,0.000002975741,0.000006768844,0.000007643391,0.001627914,0.00006959835,0.05557805,0.00006515837,0.00003439329,0.001826731],"study_design_scores_gemma":[0.0005567374,0.0002130991,0.9936906,0.00003650049,0.0000172194,0.00001917147,0.0005654466,0.0000586386,0.000430452,0.004350339,0.00003021731,0.0000315452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99863,0.0001540553,0.0004012627,0.000348709,0.000231891,0.0000518897,7.399951e-7,0.000001328825,0.0001800694],"genre_scores_gemma":[0.9979566,0.00003965373,0.001886078,0.00003215731,0.00007745033,9.608013e-7,5.67279e-7,0.000002586123,0.000003958255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0551476,"threshold_uncertainty_score":0.1420916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02746370214539132,"score_gpt":0.2222458973446438,"score_spread":0.1947821951992525,"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."}}