{"id":"W2784807410","doi":"10.1126/science.aan5028","title":"Comment on “Precipitation drives global variation in natural selection”","year":2018,"lang":"en","type":"letter","venue":"Science","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Natural selection; Variation (astronomy); Selection (genetic algorithm); Precipitation; Invertebrate; Climate variation; Climate change; Ecology; Causation; Biology; Covariance; Natural (archaeology); Variable (mathematics); Statistics; Geography; Mathematics; Computer science; Meteorology","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":[0.0054297,0.0009978518,0.001695485,0.0007141668,0.003614069,0.002674844,0.003076948,0.05328647,0.009089164],"category_scores_gemma":[0.02478044,0.0008980223,0.00131827,0.0008078464,0.0040636,0.00419685,0.001894017,0.04910721,0.01220279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002762747,"about_ca_system_score_gemma":0.003345105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009055298,"about_ca_topic_score_gemma":0.009887354,"domain_scores_codex":[0.9968421,0.000782609,0.0004415513,0.0006635547,0.0008932588,0.000376881],"domain_scores_gemma":[0.9881913,0.007297682,0.0009091479,0.0005274841,0.002036566,0.00103777],"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":[0.00003965726,0.00001383311,0.0003433086,0.00002218774,0.000007952964,0.0002536125,0.00009089107,0.00002481944,0.00007373461,0.001167663,0.9947594,0.003203058],"study_design_scores_gemma":[0.0001843321,0.0001171453,0.004064006,0.0003865187,0.00005448213,0.0009343961,0.0006083982,0.0004934131,0.0005192147,0.01723894,0.9752756,0.0001234485],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002319456,0.0007480036,0.00008861082,0.9803631,0.01704714,0.00000848836,0.0001631004,0.00005121524,0.001298453],"genre_scores_gemma":[0.001687609,0.0003124249,0.0001014603,0.9715466,0.02396168,0.00002719845,0.00003495839,0.00002077652,0.002307405],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05328647,"threshold_uncertainty_score":0.0304063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01619611620088649,"score_gpt":0.265617476932784,"score_spread":0.2494213607318975,"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."}}