{"id":"W4255420647","doi":"10.1079/dmpp/20066600568","title":"<i>Liriomyza huidobrensis</i> . [Distribution map].","year":2006,"lang":"en","type":"article","venue":"Distribution Maps of Plant Pests","topic":"Insect-Plant Interactions and Control","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Distribution (mathematics); Sativum; Phytosanitary certification; Biology; Botany; Horticulture","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001796338,0.001545422,0.0007223017,0.003896421,0.0006597979,0.0007618183,0.001142644,0.0004495042,0.1638179],"category_scores_gemma":[0.0003366906,0.0004178938,0.0003302648,0.005865444,0.0002799827,0.0009735284,0.0006894272,0.0007774938,0.08373991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007864251,"about_ca_system_score_gemma":0.0006280293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03546064,"about_ca_topic_score_gemma":0.03344331,"domain_scores_codex":[0.9998598,0.00001106665,0.00001338546,0.00005154066,0.00003749191,0.00002669156],"domain_scores_gemma":[0.9997625,0.00002504829,0.0000772885,0.0000220585,0.0000764041,0.00003680765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003604089,0.00006128759,0.0057047,0.003630132,0.00005450465,0.0002878397,0.0002983753,0.0004042166,0.00848943,0.001165112,0.785484,0.1940599],"study_design_scores_gemma":[0.00005868249,0.00003476498,0.02675503,0.0002532093,0.00002311938,0.0001981078,0.00008683327,0.0001215846,0.0004623732,0.000197182,0.9717933,0.00001585459],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.006383368,0.006454718,0.002207855,0.001025246,0.000524602,0.0009628974,0.7361906,0.003950304,0.2423004],"genre_scores_gemma":[0.02776047,0.005150567,0.008583014,0.0007607901,0.0001636015,0.00130899,0.8609043,0.0004868596,0.09488136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1638179,"threshold_uncertainty_score":0.5480254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007402817141910185,"score_gpt":0.1929184555719152,"score_spread":0.185515638430005,"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."}}