{"id":"W2235161481","doi":"10.1007/s12571-015-0531-0","title":"Linking science and policy to better protect Canada from plant pests","year":2015,"lang":"en","type":"article","venue":"Food Security","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Food Inspection Agency","funders":"Canadian Forest Service","keywords":"Agriculture; Risk assessment; Agency (philosophy); Transparency (behavior); Process (computing); PEST analysis; Business; Risk management; Risk analysis (engineering); Environmental planning; Environmental resource management; Political science; Economics; Environmental science; Computer science; Marketing; Biology; Ecology; Sociology; Law; Management","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.01924747,0.0007196694,0.0007840228,0.005442919,0.007673634,0.01496958,0.002705672,0.01745139,0.02262353],"category_scores_gemma":[0.03959814,0.0006202012,0.001131457,0.003173592,0.01304559,0.007223915,0.007719662,0.0118149,0.000836219],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1168341,"about_ca_system_score_gemma":0.4359874,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9284034,"about_ca_topic_score_gemma":0.9550948,"domain_scores_codex":[0.9838579,0.00262464,0.0005194793,0.0008793004,0.006446138,0.005672615],"domain_scores_gemma":[0.9434939,0.01376464,0.003534867,0.001772127,0.02181471,0.01561964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002290635,0.0007327692,0.03667248,0.00120921,0.0004129838,0.0004398396,0.002453727,0.01290042,0.003079293,0.4748395,0.359264,0.1077667],"study_design_scores_gemma":[0.0002475684,0.0001947639,0.04819513,0.001586539,0.0002537798,0.00009437966,0.006727979,0.007191823,0.002262839,0.2214142,0.7115352,0.0002958741],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0164052,0.007571601,0.002780893,0.8921426,0.001690773,0.000181791,0.0005999591,0.0001988968,0.0784284],"genre_scores_gemma":[0.4821782,0.0112815,0.01300915,0.444574,0.001838846,0.0002481577,0.000506754,0.00009750768,0.04626581],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9923264,"threshold_uncertainty_score":0.8476945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01147095746292924,"score_gpt":0.2137845936670481,"score_spread":0.2023136362041189,"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."}}