{"id":"W4253208106","doi":"10.1079/dmpp/20056600393","title":"<i>Cryptococcus fagisuga</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":"Beech; Distribution (mathematics); Biology; Geography; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004235173,0.0001715335,0.0002215095,0.00001009723,0.0001625293,0.00005990198,0.0003579273,0.0001472901,0.0004919346],"category_scores_gemma":[0.0001711374,0.00007746749,0.0001322946,0.0003306974,0.0001125385,0.0002382625,0.0000856636,0.0001876005,0.0003569774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001143392,"about_ca_system_score_gemma":0.00002162941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001646874,"about_ca_topic_score_gemma":0.0003771647,"domain_scores_codex":[0.9981892,0.0001087406,0.0003786012,0.0003177623,0.0005456264,0.0004601199],"domain_scores_gemma":[0.9991339,0.0001945496,0.0001701737,0.0001043968,0.0001999989,0.0001969725],"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":[0.0002524295,0.0005130402,0.02104209,0.00004030337,0.00003938983,0.00002665237,0.00002679062,0.00003988343,0.2052011,0.009675027,0.717719,0.04542429],"study_design_scores_gemma":[0.0002598762,0.0001692592,0.1031609,0.00003489177,0.000008916959,0.00001857875,0.00003843869,0.0001280208,0.02958219,0.0004880904,0.8658991,0.0002117635],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8786491,0.0002266955,0.0001974401,0.003158059,0.0001762338,0.0004962967,0.1166259,0.0001384772,0.0003317686],"genre_scores_gemma":[0.9095821,0.00005958836,0.00003326382,0.00006537147,0.0003240027,0.00002988599,0.08974355,9.19109e-7,0.0001613263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1756189,"threshold_uncertainty_score":0.5386339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01915814952109412,"score_gpt":0.2442879835231336,"score_spread":0.2251298340020395,"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."}}