{"id":"W4243070795","doi":"10.1079/dmpd/20056500293","title":"<i>Pseudomonas tabaci</i> . [Distribution map].","year":2005,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Plant Pathogenic Bacteria Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; China; Distribution (mathematics); Tanzania; Environmental protection; Socioeconomics; Archaeology","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":[0.0001977357,0.001607147,0.0006148996,0.004903654,0.0005145427,0.0008849495,0.0009003897,0.0004243762,0.153094],"category_scores_gemma":[0.0006643593,0.000331307,0.0003117509,0.01073783,0.0002575849,0.0006330938,0.0005605352,0.0006874501,0.08168801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000866738,"about_ca_system_score_gemma":0.001239483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05081955,"about_ca_topic_score_gemma":0.03637005,"domain_scores_codex":[0.9998447,0.00001783833,0.00001264763,0.00003955033,0.00005004715,0.00003518122],"domain_scores_gemma":[0.9995402,0.00004535893,0.0001045577,0.00001992015,0.0002166481,0.00007338822],"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":[0.0001151225,0.00003422121,0.002201453,0.002272495,0.00002114368,0.0001937636,0.0001465671,0.0003329623,0.002875655,0.0009321663,0.9261519,0.06472243],"study_design_scores_gemma":[0.00003494748,0.0000176822,0.01939063,0.0001869092,0.000008732438,0.0001469126,0.00006910243,0.000132158,0.0002391046,0.0002001354,0.9795639,0.000009669919],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.001808539,0.002259811,0.001093497,0.0008131347,0.0005031598,0.000375353,0.9003493,0.001304259,0.09149304],"genre_scores_gemma":[0.00564076,0.002228158,0.004516944,0.0002712379,0.0001185943,0.0003066052,0.9543203,0.0002255538,0.03237173],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.153094,"threshold_uncertainty_score":0.5121506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01297515611607344,"score_gpt":0.2024803651505964,"score_spread":0.1895052090345229,"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."}}