{"id":"W4242447599","doi":"10.1079/dmpp/20056600092","title":"<i>Coccus hesperidum</i> . [Distribution map].","year":2005,"lang":"en","type":"article","venue":"Distribution Maps of Plant Pests","topic":"Research on scale insects","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Sierra leone; Tanzania; Distribution (mathematics); Socioeconomics","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":[0.0001343688,0.001786366,0.0005565685,0.004165307,0.0005217183,0.0007850754,0.0009668653,0.0003991815,0.2101112],"category_scores_gemma":[0.0003945794,0.0003127318,0.000300094,0.009349012,0.0003240377,0.0009482712,0.0007197363,0.000590478,0.09774713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006368482,"about_ca_system_score_gemma":0.0007474333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05381101,"about_ca_topic_score_gemma":0.04729845,"domain_scores_codex":[0.9998437,0.00001489956,0.00001357753,0.00004568759,0.0000441764,0.00003783854],"domain_scores_gemma":[0.9996135,0.00003603123,0.00009199266,0.00001373751,0.0001981068,0.00004680538],"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":[0.00009556585,0.00002680825,0.002096322,0.002099718,0.00001823327,0.0001837159,0.0001457526,0.0002154659,0.00103672,0.000562333,0.9375009,0.05601835],"study_design_scores_gemma":[0.00004650599,0.00002474486,0.02529506,0.0003535183,0.00001180499,0.0002903142,0.0002081332,0.0001805313,0.0002184506,0.0002468762,0.9731092,0.00001490162],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.003387082,0.003907837,0.0007668429,0.0007116715,0.0006255058,0.0007067251,0.7983974,0.001041456,0.1904555],"genre_scores_gemma":[0.02049127,0.004525722,0.0044632,0.0007801736,0.0002253351,0.001035917,0.8851903,0.0003035898,0.08298447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2101112,"threshold_uncertainty_score":0.7028919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01949050978336619,"score_gpt":0.2404597210598262,"score_spread":0.22096921127646,"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."}}