{"id":"W6931683045","doi":"10.5683/sp2/0zs9qw","title":"Data from: Differential selection between the sexes and selection for sex","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Selection (genetic algorithm); Sexual selection; Reproduction; Stability (learning theory); Sexual reproduction; Natural selection","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":[0.001512902,0.001379082,0.001122011,0.001773135,0.0005718893,0.001266756,0.00212775,0.001612573,0.0209705],"category_scores_gemma":[0.006220052,0.0003446956,0.001255867,0.002688067,0.0003818894,0.0006046094,0.001144414,0.001113354,0.01584959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009853884,"about_ca_system_score_gemma":0.001180872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01532476,"about_ca_topic_score_gemma":0.02932274,"domain_scores_codex":[0.9990435,0.0002346667,0.0001392147,0.0002748159,0.0001758129,0.0001319912],"domain_scores_gemma":[0.9981238,0.0007564583,0.0002784833,0.0003711607,0.0003171795,0.0001528705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008971734,0.0001957592,0.02864089,0.003977876,0.0005460059,0.0002379697,0.0001145398,0.003447734,0.0009882053,0.001005624,0.9490452,0.01090305],"study_design_scores_gemma":[0.001965808,0.000196849,0.115905,0.0008120785,0.0003683977,0.000582339,0.0004174971,0.005014624,0.001805258,0.002089946,0.8707145,0.0001278112],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00419745,0.0002438604,0.0001338154,0.0001595945,0.00003698867,0.00002697746,0.9943987,0.000221058,0.0005815726],"genre_scores_gemma":[0.006274452,0.00009015586,0.0005460234,0.00006885619,0.000009006378,0.0001060642,0.9922341,0.00004461315,0.000626796],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0209705,"threshold_uncertainty_score":0.0701533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08806120601872214,"score_gpt":0.3892491104776507,"score_spread":0.3011879044589285,"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."}}