{"id":"W2801697267","doi":"","title":"Classical Weed Biological Control Outcomes: A Catalogue-based Analysis of Success Rates and Their Correlates","year":2018,"lang":"en","type":"article","venue":"TSpace (University of Toronto)","topic":"Biological Control of Invasive Species","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Weed; Weed control; Geography; Demography; Econometrics; Computer science; Ecology; Economics; Biology; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000202452,0.000181757,0.0006939776,0.00002301768,0.0001769253,0.00001356898,0.0003908722,0.0002136503,0.006846312],"category_scores_gemma":[0.0001318973,0.00007198268,0.0003142352,0.0002390373,0.001146776,0.0001374619,0.0001078774,0.00008299929,0.000005428153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004217399,"about_ca_system_score_gemma":0.00001021175,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0336256,"about_ca_topic_score_gemma":0.09122008,"domain_scores_codex":[0.9989991,0.0001621617,0.0001542526,0.0003238314,0.0001206566,0.000239983],"domain_scores_gemma":[0.9984135,0.0009118697,0.000238185,0.00009637577,0.0002212029,0.0001188796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001258219,0.0004156356,0.6755821,0.00001278302,0.001665758,0.00001002231,0.0008221063,0.000008823612,0.2701835,0.002222892,0.0001911685,0.04762701],"study_design_scores_gemma":[0.000605727,0.0009476081,0.9937304,0.000008288707,0.0002136194,4.375815e-7,0.002393533,0.001131445,0.0003975131,0.00004847955,0.0003627956,0.00016021],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950076,0.0004347668,0.0001692739,0.00264041,0.00003780082,0.0001884018,0.0002678315,0.00004256839,0.001211376],"genre_scores_gemma":[0.9994578,0.00003097547,0.0001431958,0.000157398,0.00002964956,6.097711e-7,0.00007739195,6.272822e-7,0.0001023008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3181482,"threshold_uncertainty_score":0.9940616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02432672707928183,"score_gpt":0.2245941167378967,"score_spread":0.2002673896586149,"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."}}