{"id":"W6967394234","doi":"10.5061/dryad.5qfttdz7g","title":"Quantifying and comparing male harm between two Drosophila serrata lab populations","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Ottawa","funders":"","keywords":"Harm; Divergence (linguistics); Sexual dimorphism; Competition (biology); Sex characteristics; Drosophila (subgenus)","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":[0.001618238,0.001245914,0.001122214,0.002084407,0.001053193,0.001409541,0.002632621,0.001945716,0.01643126],"category_scores_gemma":[0.006101083,0.0004413859,0.001193232,0.002460573,0.0005372118,0.0007539084,0.001556792,0.001114635,0.01158335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001325169,"about_ca_system_score_gemma":0.001202186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03084747,"about_ca_topic_score_gemma":0.06998136,"domain_scores_codex":[0.9991426,0.0002243387,0.00009309053,0.0002903839,0.0001601513,0.00008929977],"domain_scores_gemma":[0.9975895,0.001245674,0.0003058982,0.0003657964,0.0003591678,0.0001340485],"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":[0.000385301,0.0001390609,0.01733463,0.005097989,0.0004665607,0.0001899927,0.0002220709,0.003006598,0.001400863,0.001938869,0.958324,0.01149416],"study_design_scores_gemma":[0.001574275,0.0001357669,0.06607695,0.00101211,0.0003723319,0.0003526906,0.0004693997,0.003945187,0.001978317,0.004030007,0.9198863,0.0001665276],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001885247,0.000179444,0.0001478572,0.0001459121,0.00001881733,0.00002193509,0.9967096,0.0002166,0.000674563],"genre_scores_gemma":[0.003991952,0.00009900652,0.001119898,0.0001168989,0.00000704065,0.0001900034,0.9938314,0.00006398172,0.0005797801],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03084747,"threshold_uncertainty_score":0.0613358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3487748178387147,"score_gpt":0.4371997326484411,"score_spread":0.08842491480972647,"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."}}