{"id":"W2580445432","doi":"10.1079/dmpd/20123172042","title":"<i>Spongospora subterranea</i> . [Distribution map].","year":2012,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Plant Disease Resistance and Genetics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; China; Distribution (mathematics); Archaeology; Environmental protection","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":[0.0002033758,0.001927977,0.0006726861,0.005800277,0.0006031339,0.0009366624,0.001107003,0.0004658734,0.1499137],"category_scores_gemma":[0.0004842087,0.0004677568,0.0004542594,0.01094062,0.0003815128,0.000822578,0.0008235698,0.0008367574,0.07683438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006778729,"about_ca_system_score_gemma":0.000949997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04895972,"about_ca_topic_score_gemma":0.04539397,"domain_scores_codex":[0.9998128,0.00002168884,0.00001722414,0.00004832358,0.00004788432,0.00005199311],"domain_scores_gemma":[0.999608,0.00003995109,0.0001172701,0.00001894472,0.000158609,0.00005725983],"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":[0.0001685965,0.00003747073,0.004055958,0.002978068,0.00004654927,0.0002771152,0.0003272149,0.0004494088,0.002494596,0.0008770706,0.9162046,0.07208326],"study_design_scores_gemma":[0.00005293755,0.00002264909,0.02918174,0.0002584027,0.00001650943,0.0002469915,0.0001638893,0.0001709278,0.0001955417,0.0002176425,0.9694577,0.00001512392],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003466752,0.002947233,0.0009992464,0.0006255588,0.0004643665,0.0005467524,0.8835143,0.001218183,0.1062176],"genre_scores_gemma":[0.01418721,0.002930326,0.004785038,0.0003407178,0.0001259456,0.0006575544,0.94493,0.00023179,0.03181151],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1499137,"threshold_uncertainty_score":0.5015115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01598222827731768,"score_gpt":0.2089156660082396,"score_spread":0.1929334377309219,"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."}}