{"id":"W4254980742","doi":"10.22541/au.163284562.23588882/v1","title":"Resistance evolution, from genetic mechanism to ecological context","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of British Columbia","funders":"","keywords":"Resistance (ecology); Evolutionary ecology; Context (archaeology); Natural selection; Ecology; Adaptation (eye); Ecology and Evolutionary Biology; Ecological genetics; Insecticide resistance; Biology; Evolutionary biology; Geography; Sociology; Population; Archaeology; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003395112,0.0004638245,0.0007372368,0.001408218,0.0009686162,0.0031399,0.0008633141,0.001592285,0.002221687],"category_scores_gemma":[0.006851661,0.00026135,0.000301935,0.001230515,0.004092411,0.003467464,0.002120034,0.001873615,0.0002993628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001454658,"about_ca_system_score_gemma":0.000635501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001596475,"about_ca_topic_score_gemma":0.001445994,"domain_scores_codex":[0.9977328,0.001047042,0.0001027064,0.0006242046,0.0003149252,0.0001782325],"domain_scores_gemma":[0.9970437,0.001530433,0.0005411234,0.0002315005,0.0003998163,0.0002533931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000453388,0.0003920794,0.2618318,0.001202915,0.001302442,0.002028016,0.007217451,0.01372784,0.03058103,0.358646,0.00943533,0.3131817],"study_design_scores_gemma":[0.0001162684,0.0004915063,0.3627898,0.0008388165,0.0004859228,0.002195574,0.005257331,0.01534609,0.003571073,0.5350326,0.07345033,0.0004246778],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8379464,0.05203164,0.02860884,0.03515517,0.0006696935,0.00007659741,0.0003218474,0.0002011135,0.04498856],"genre_scores_gemma":[0.9867997,0.007097372,0.002856501,0.001748889,0.0002207761,0.00002173982,0.00007384052,0.00004300233,0.001138089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003395112,"threshold_uncertainty_score":0.0179553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01733387617079235,"score_gpt":0.2132176875725761,"score_spread":0.1958838114017838,"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."}}