{"id":"W4252378135","doi":"10.1079/dmpd/20103096738","title":"<i>Cryphonectria parasitica</i> . [Distribution map].","year":2010,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Plant and Fungal Interactions Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Mainland China; Cryphonectria; Mainland; Forestry; China; Environmental protection; Archaeology; Biology","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":[0.0001303319,0.001513601,0.0005006116,0.005619557,0.0004470833,0.0007236701,0.0008633659,0.0003723151,0.118447],"category_scores_gemma":[0.0003791882,0.0003040382,0.0003350478,0.00846011,0.0003167556,0.00076472,0.0006612741,0.0005522752,0.06822781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005681696,"about_ca_system_score_gemma":0.0005735688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04137864,"about_ca_topic_score_gemma":0.03242329,"domain_scores_codex":[0.9998375,0.00001432219,0.00001581565,0.00004614939,0.00004394631,0.00004219389],"domain_scores_gemma":[0.9996043,0.0000390793,0.0001238412,0.00001996072,0.0001590275,0.00005384648],"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":[0.0001108627,0.00003448778,0.005037592,0.002240046,0.0000284744,0.0002431305,0.0001841239,0.0002838155,0.002371518,0.0006070148,0.9150856,0.07377324],"study_design_scores_gemma":[0.00003906336,0.00003054412,0.05539891,0.0002479548,0.00001319476,0.0003687833,0.0001560058,0.0002281898,0.0003137786,0.0001982538,0.9429892,0.00001601288],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.004588429,0.003511593,0.0008579842,0.0006491871,0.0004046187,0.0005124802,0.8600296,0.001469284,0.1279768],"genre_scores_gemma":[0.01990877,0.003005035,0.003459637,0.0003765431,0.0001537879,0.0004866927,0.9302889,0.0002158014,0.04210493],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.118447,"threshold_uncertainty_score":0.3962447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009044409225609744,"score_gpt":0.2655268592693285,"score_spread":0.2564824500437187,"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."}}