{"id":"W2592808718","doi":"10.1079/dmpd/20066500969","title":"<i>Phomopsis viticola</i> . [Distribution map].","year":2006,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Botanical Studies and Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Montenegro; Geography; Distribution (mathematics); China; Uttar pradesh; 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":[0.000129028,0.001350137,0.0005688615,0.004414858,0.0004470435,0.0007168507,0.0009590184,0.0003704689,0.1298627],"category_scores_gemma":[0.0004438442,0.0003489145,0.0003797117,0.008230358,0.0002722169,0.0006622268,0.0005117338,0.0007120394,0.06412753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006664628,"about_ca_system_score_gemma":0.0008491125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03993843,"about_ca_topic_score_gemma":0.02457669,"domain_scores_codex":[0.9998896,0.00001023653,0.000008679599,0.00002507629,0.00003952202,0.00002681098],"domain_scores_gemma":[0.9996973,0.00003992823,0.00007612167,0.00001560302,0.000124409,0.00004658903],"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":[0.0002324165,0.00004684223,0.002070269,0.003391074,0.00002710214,0.0002225588,0.000159924,0.0005751178,0.003755827,0.001066631,0.9007921,0.08766027],"study_design_scores_gemma":[0.00005835444,0.0000233152,0.01733489,0.0001913845,0.00001047895,0.0001548669,0.0000608498,0.0001885991,0.0003287066,0.0002831804,0.9813523,0.0000131278],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.002223141,0.001678512,0.00155837,0.000609684,0.0004341874,0.000391356,0.900678,0.002195944,0.09023073],"genre_scores_gemma":[0.008653901,0.002028018,0.004233447,0.0002921911,0.00009201536,0.000325221,0.9619119,0.0002543445,0.02220893],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1298627,"threshold_uncertainty_score":0.4344339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009676546564389927,"score_gpt":0.198551899829664,"score_spread":0.1888753532652741,"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."}}