{"id":"W6948616277","doi":"10.5061/dryad.t4b8gtj19","title":"Divergence in life history and behaviour between hybridizing Phymata","year":2021,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Parapatric speciation; Divergence (linguistics); Life history theory; Life history; Gene flow; Natural selection; Juvenile; Vertebrate","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":[],"consensus_categories":[],"category_scores_codex":[0.0005080598,0.0002267095,0.0003985176,0.000173143,0.00006384711,0.0006625122,0.003795595,0.00008900077,0.000698026],"category_scores_gemma":[0.00005529593,0.0002450368,0.00003248536,0.0002044344,0.00004540314,0.001201328,0.007803461,0.0002965872,0.000282287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001010269,"about_ca_system_score_gemma":0.0002076561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008747038,"about_ca_topic_score_gemma":0.0002312201,"domain_scores_codex":[0.99817,0.00008040285,0.0003075754,0.000883986,0.0002836882,0.0002743919],"domain_scores_gemma":[0.9984565,0.00004907508,0.0001709701,0.001167551,0.00002280446,0.0001331118],"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":[6.177682e-7,0.00003135202,0.0006361869,0.00001765426,0.00001520417,0.0003021584,0.00003750606,2.117969e-7,6.037044e-7,0.00000313219,0.9559914,0.04296394],"study_design_scores_gemma":[0.0001912234,0.00001629103,0.002249351,0.0001170465,0.00003501631,0.000003257953,0.00001929096,0.00007126555,0.000009137356,0.000007725704,0.9969693,0.0003111346],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004905641,0.001356054,0.0005920442,0.0001572652,0.0008440152,0.0003430855,0.9958044,0.000003002777,0.000409569],"genre_scores_gemma":[0.00005167512,0.0003377738,0.01423464,0.0001244946,0.0001524646,0.00001728217,0.9838256,0.000009072443,0.001246956],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0426528,"threshold_uncertainty_score":0.999231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08198395331410434,"score_gpt":0.2966474036056709,"score_spread":0.2146634502915666,"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."}}