{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008620247,0.0009741501,0.0002779769,0.003631149,0.0003370193,0.0003817707,0.0005757926,0.0002946173,0.09101014],"category_scores_gemma":[0.0003296445,0.000212837,0.0001503588,0.004677694,0.0002589942,0.0005840584,0.0003732213,0.0004187592,0.02473623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006451034,"about_ca_system_score_gemma":0.0005961382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07076735,"about_ca_topic_score_gemma":0.04624883,"domain_scores_codex":[0.9999299,0.000007124669,0.000005048308,0.00001523815,0.00002468195,0.0000180676],"domain_scores_gemma":[0.999828,0.00002311219,0.00005440751,0.000005846458,0.00006302456,0.00002565902],"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":[0.0001764905,0.0000438667,0.005052452,0.001729144,0.00001633497,0.0003405245,0.0001833021,0.0004759631,0.001892554,0.0008793905,0.9018083,0.0874017],"study_design_scores_gemma":[0.00007683587,0.0000442528,0.05156377,0.0002959501,0.00001291887,0.0004582992,0.0001590534,0.0004252449,0.0005095409,0.0003655503,0.9460724,0.00001621909],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01436738,0.004795553,0.002406749,0.002068254,0.0009616193,0.0009609143,0.7495584,0.001705775,0.2231753],"genre_scores_gemma":[0.05638306,0.004821227,0.008473024,0.0006816549,0.0002732296,0.0006000116,0.8705793,0.0002080741,0.05798049],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09101014,"threshold_uncertainty_score":0.3044592,"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."}}