{"id":"W330977287","doi":"","title":"Social neuroendocrinology of competition","year":2010,"lang":"en","type":"dissertation","venue":"Brock University Digital Repository (Brock University)","topic":"Neuroendocrine regulation and behavior","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Brock University","keywords":"Neuroendocrinology; Competition (biology); Data science; Psychology; Ecology; Biology; Computer science; Endocrinology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0003158928,0.0002798343,0.0002074016,0.0003781385,0.0005031662,0.0007701923,0.0002880951,0.0003208157,0.006530841],"category_scores_gemma":[0.0008336278,0.0001098107,0.0001398701,0.0001786506,0.000814834,0.0002676262,0.0006891986,0.0004149124,0.0004182096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008602898,"about_ca_system_score_gemma":0.0009402753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005627724,"about_ca_topic_score_gemma":0.01483766,"domain_scores_codex":[0.9996858,0.0001161289,0.000007138583,0.00006189101,0.00007233998,0.00005680717],"domain_scores_gemma":[0.9993363,0.0001186347,0.0001718448,0.00004574814,0.00009064104,0.0002368107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002003847,0.001132958,0.379699,0.001004294,0.0005167142,0.004013303,0.004720685,0.001804182,0.1410122,0.04358107,0.01286751,0.4076442],"study_design_scores_gemma":[0.00002621028,0.0007400938,0.9659662,0.00008239778,0.0000289394,0.001253059,0.001491408,0.0008195383,0.002231449,0.008059038,0.01925086,0.00005077658],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8651384,0.01311563,0.002209388,0.00356689,0.0003246927,0.00004948952,0.0003978387,0.00005726772,0.1151404],"genre_scores_gemma":[0.9882078,0.001814728,0.000506559,0.0004308333,0.00007686368,0.00003320799,0.0001078458,0.00001013083,0.008812108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006530841,"threshold_uncertainty_score":0.02184784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01505969492437011,"score_gpt":0.2475457702337401,"score_spread":0.23248607530937,"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."}}