{"id":"W4221117051","doi":"10.1111/evo.14471","title":"Quantifying male harm and its divergence","year":2022,"lang":"en","type":"article","venue":"Evolution","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Saskatchewan; University of Ottawa","funders":"","keywords":"Harm; Biology; Divergence (linguistics); Demography; Evolutionary biology; Population; Zoology; Psychology; Social psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001081233,0.0003026281,0.0003724134,0.00106877,0.0003057591,0.0004945438,0.0004284976,0.0005323087,0.0008043511],"category_scores_gemma":[0.002535854,0.0001509639,0.0003362374,0.0004687895,0.0007070926,0.0004550727,0.001170782,0.0007151847,0.0001103864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000529867,"about_ca_system_score_gemma":0.0001320011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004881234,"about_ca_topic_score_gemma":0.0012156,"domain_scores_codex":[0.9987979,0.0003318269,0.00008337121,0.0003546821,0.0003735933,0.00005860552],"domain_scores_gemma":[0.9969828,0.001007749,0.001078272,0.0004486432,0.0002887826,0.0001937266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000471241,0.0001595659,0.3840808,0.0003554867,0.0004629807,0.0002204463,0.001385724,0.004639668,0.5602925,0.003010724,0.0003207065,0.04460022],"study_design_scores_gemma":[0.000007871678,0.0004960597,0.9388908,0.00002762127,0.00009365047,0.0004627878,0.0003540543,0.004736071,0.05147615,0.001988647,0.001423986,0.00004222067],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988614,0.0005680925,0.008334448,0.00006068599,0.00001157319,0.00001662075,0.0004020554,0.0000353597,0.00195727],"genre_scores_gemma":[0.9949902,0.00006750865,0.004241367,0.00006027499,0.000005209547,0.00003237482,0.000207818,0.00001637142,0.0003789712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001081233,"threshold_uncertainty_score":0.005718172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06429011149289013,"score_gpt":0.257693347836238,"score_spread":0.1934032363433479,"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."}}