{"id":"W7051998019","doi":"","title":"Prediction and management of an invasive grass (<i>Agropyron cristatum</i>).","year":2006,"lang":"en","type":"dissertation","venue":"oURspace (University of Regina)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Faculty of Graduate Studies and Research, University of Regina; University of Regina","keywords":"Forage; Production (economics); Identification (biology); Exclosure; Selection (genetic algorithm); Vegetation (pathology)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004429931,0.0003813996,0.0002475036,0.0003872738,0.0002530181,0.0006362795,0.0005873739,0.0005701592,0.0005231707],"category_scores_gemma":[0.0005856722,0.00008692052,0.0001921104,0.0003134147,0.000159225,0.0004042367,0.0002455359,0.0004091097,0.0001628418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001200743,"about_ca_system_score_gemma":0.0008572784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05797596,"about_ca_topic_score_gemma":0.06821111,"domain_scores_codex":[0.999805,0.00004040447,0.000008951024,0.00005989799,0.00004743511,0.00003834645],"domain_scores_gemma":[0.9996525,0.00007310063,0.000112239,0.00001095645,0.00007306223,0.00007814266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008187343,0.0006939978,0.6555972,0.0002989129,0.000409695,0.000973948,0.0003258554,0.1304549,0.08904435,0.001046693,0.009024189,0.1113116],"study_design_scores_gemma":[0.00003468757,0.0008133092,0.76188,0.00005783885,0.000128988,0.0001930812,0.001497978,0.2211912,0.007301673,0.001718622,0.005134467,0.00004800407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891426,0.0008423416,0.005287948,0.0008236999,0.00004214175,0.00003847449,0.0009679915,0.00009073817,0.002764002],"genre_scores_gemma":[0.994132,0.0003207677,0.004204257,0.00005817263,0.000007994806,0.00001148568,0.0006250147,0.000009205951,0.0006311428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05797596,"threshold_uncertainty_score":0.115277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005966153827176707,"score_gpt":0.1784893662006125,"score_spread":0.1725232123734358,"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."}}