{"id":"W6969381394","doi":"10.5683/sp2/t1vxbr","title":"Data from: Refining the conditions for sympatric ecological speciation","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"Alexander von Humboldt Studies","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sympatric speciation; Disruptive selection; Incipient speciation; Genetic algorithm; Ecological speciation; Assortative mating; Sympatry; Population","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002958564,0.00024227,0.0004538453,0.00006038197,0.0006144145,0.00004193698,0.0009773911,0.0005469038,0.001660593],"category_scores_gemma":[0.001237356,0.0001678059,0.0001040037,0.00009681744,0.0002133237,0.00006005924,0.000749666,0.0004340958,0.0001971261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006257494,"about_ca_system_score_gemma":0.0001313082,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005671343,"about_ca_topic_score_gemma":0.03592442,"domain_scores_codex":[0.9984802,0.0002416147,0.0003629152,0.0005698149,0.00004811929,0.000297319],"domain_scores_gemma":[0.9961175,0.001966244,0.0002928152,0.001501836,0.0001083886,0.00001321054],"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":[0.00001598365,0.00007646154,0.00003218803,0.00001345974,0.0005714358,0.000006181921,0.00002567996,4.97892e-7,0.0000442917,0.00008005847,0.9990391,0.00009466924],"study_design_scores_gemma":[0.0004660204,0.00004586911,0.004429954,0.00002556376,0.0005798209,0.000009130837,0.000219828,9.433511e-7,0.00001498085,0.0001981191,0.9938134,0.0001963763],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002877618,0.004132119,0.00002227648,0.0009773441,0.0008469048,0.0002611247,0.9933607,0.00003965196,0.0003311156],"genre_scores_gemma":[0.00005425772,0.001087275,0.00003245841,0.0006328679,0.0005472705,0.0001727236,0.9969164,0.00001373255,0.0005430692],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03025308,"threshold_uncertainty_score":0.999252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1023970606693401,"score_gpt":0.331633768938722,"score_spread":0.2292367082693819,"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."}}