{"id":"W4251077832","doi":"10.1515/iupac.78.0173","title":"Biocontrol","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Biological Control of Invasive Species","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Relation (database); Pesticide; Computer science; Management science; Ecology; Biology; Engineering; Data mining; Linguistics","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":[0.001042808,0.002026967,0.001544856,0.006157621,0.0009191459,0.002831913,0.002853415,0.001849294,0.0988907],"category_scores_gemma":[0.007754433,0.0006429612,0.001352406,0.01086513,0.0004155344,0.002091664,0.002126091,0.001797132,0.09648417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00201716,"about_ca_system_score_gemma":0.003373536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02599914,"about_ca_topic_score_gemma":0.05181808,"domain_scores_codex":[0.9985983,0.0002040299,0.0002750481,0.0004208583,0.0003526189,0.0001490982],"domain_scores_gemma":[0.9969824,0.0009815166,0.0004737147,0.0005568017,0.0007635126,0.0002420015],"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":[0.00006888021,0.00001760229,0.001045269,0.002572655,0.00003964112,0.00002911286,0.00003933601,0.000271249,0.0001958599,0.001042095,0.9897906,0.004887674],"study_design_scores_gemma":[0.00007843644,0.000008784645,0.002102643,0.0006525564,0.0000264021,0.00003954408,0.0000384105,0.0001345179,0.0001413161,0.0007927079,0.9959688,0.00001575331],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004813646,0.0001175516,0.00004581391,0.00003778526,0.00001030268,0.000007955808,0.9989309,0.0001156866,0.0006857642],"genre_scores_gemma":[0.0001882271,0.0001457848,0.0002331835,0.00005899007,0.000003612632,0.00006113142,0.998773,0.00003814188,0.0004978996],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0988907,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01930540141680946,"score_gpt":0.3388915635361812,"score_spread":0.3195861621193717,"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."}}