{"id":"W4311887677","doi":"10.1126/science.abo7293","title":"Rapid weed adaptation and range expansion in response to agriculture over the past two centuries","year":2022,"lang":"en","type":"article","venue":"Science","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia","funders":"","keywords":"Weed; Agriculture; Range (aeronautics); Adaptation (eye); Selection (genetic algorithm); Biology; Geography; Agroforestry; Ecology","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":[0.0003063202,0.0001156163,0.0001516898,0.0005001063,0.0005386539,0.0004822357,0.0001810433,0.0003236614,0.00155093],"category_scores_gemma":[0.000919547,0.0001018026,0.00008967763,0.0007223134,0.0006783876,0.000334061,0.0007354242,0.0003906253,0.0001707801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004267574,"about_ca_system_score_gemma":0.0002303615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004231628,"about_ca_topic_score_gemma":0.01422662,"domain_scores_codex":[0.9997875,0.00003765046,0.000009905732,0.00009411213,0.00003453288,0.00003625004],"domain_scores_gemma":[0.9996991,0.0000528085,0.0001337129,0.00002067249,0.00004006012,0.00005368586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000596043,0.0001263642,0.7840415,0.0002982552,0.0002010523,0.001186954,0.006512262,0.001789955,0.1096431,0.003231485,0.001201282,0.09117175],"study_design_scores_gemma":[0.000006338155,0.00004149378,0.9935557,0.00001814507,0.00001502748,0.000235393,0.0007479758,0.0002846065,0.0004057098,0.0003783294,0.004302488,0.000008806457],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965951,0.001238688,0.0003449337,0.0001348249,0.00001284411,0.000003531952,0.0001210563,0.000009282648,0.001539759],"genre_scores_gemma":[0.998525,0.0006961015,0.0002060432,0.00006938566,0.00001577002,0.000004631928,0.0000938881,0.000006028166,0.0003833456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004231628,"threshold_uncertainty_score":0.00841403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01956375071681124,"score_gpt":0.2200481450976226,"score_spread":0.2004843943808113,"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."}}