{"id":"W4244819604","doi":"10.1079/dmpp/20056600156","title":"<i>Psylla pyricola</i> . [Distribution map].","year":2005,"lang":"en","type":"article","venue":"Distribution Maps of Plant Pests","topic":"Phytoplasmas and Hemiptera pathogens","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Geography; PEAR; Biology; Botany","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":[0.0001793405,0.0001500376,0.0001966695,0.00000575579,0.0001505006,0.00003215564,0.0001898266,0.0001177697,0.0002546996],"category_scores_gemma":[0.00003171244,0.00006971223,0.0001206079,0.0001931717,0.00005000905,0.0001414502,0.00004592889,0.0001054829,0.0001351463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006401233,"about_ca_system_score_gemma":0.00001085019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002117987,"about_ca_topic_score_gemma":0.0002389272,"domain_scores_codex":[0.998868,0.0000356107,0.0003034608,0.000246285,0.0002426867,0.0003039763],"domain_scores_gemma":[0.9994903,0.00007201194,0.0001541622,0.00006906051,0.00009738775,0.0001170832],"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":[0.0001634779,0.0005936521,0.06383926,0.00004335452,0.00003253547,0.00001726356,0.00004338893,0.00004134184,0.1703358,0.009881612,0.7230378,0.0319705],"study_design_scores_gemma":[0.0001802961,0.00009604071,0.05042033,0.00002812425,0.0000150637,0.00002221962,0.00003059928,0.0001141934,0.0227749,0.0002386674,0.9258935,0.0001860086],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8670194,0.0002157876,0.00007472166,0.001593577,0.0001777963,0.000185349,0.1303423,0.00008873827,0.0003023741],"genre_scores_gemma":[0.9066885,0.00004747378,0.00003459521,0.00007896799,0.0003336019,0.0000109446,0.09268891,6.683377e-7,0.0001163835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2028558,"threshold_uncertainty_score":0.2842782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212006445218089,"score_gpt":0.2034486517913831,"score_spread":0.1913285873392022,"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."}}