{"id":"W2975228822","doi":"10.3114/fuse.2020.05.05","title":"Cones, needles and wood: <i> Micraspis </i> (<i>Micraspidaceae</i>, <i> Micraspidales fam. et ord. nov.</i>) speciation segregates by host plant tissues","year":2019,"lang":"en","type":"article","venue":"Fungal Systematics and Evolution","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Biology; Genus; Host (biology); Pinaceae; Botany; Genetic algorithm; Evolutionary biology; Zoology; Ecology; Pinus <genus>","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007718312,0.0003598395,0.0001506142,0.0005138982,0.0003858064,0.0004462018,0.0001828702,0.0002207671,0.001691149],"category_scores_gemma":[0.0001601196,0.00007561628,0.0001491294,0.0006165924,0.0002134194,0.0003796672,0.0003383792,0.0003058772,0.000630266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002372798,"about_ca_system_score_gemma":0.0002805943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002165417,"about_ca_topic_score_gemma":0.002904481,"domain_scores_codex":[0.9999104,0.000008601644,0.000007744999,0.00003833177,0.00002058219,0.00001432339],"domain_scores_gemma":[0.9998839,0.00001478342,0.00004844533,0.00001213346,0.00001808982,0.00002272773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002734701,0.00005472695,0.0607632,0.000404344,0.00003294129,0.001127981,0.0006481352,0.0001943984,0.826432,0.001014288,0.0004600385,0.1085944],"study_design_scores_gemma":[0.000024911,0.0003019373,0.8454856,0.00007640656,0.00005758934,0.007492702,0.0007646455,0.0007237695,0.06194654,0.0004849234,0.082616,0.00002487798],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.968223,0.006563703,0.006537967,0.0002215096,0.00008056099,0.0001095487,0.001867222,0.0002686299,0.01612779],"genre_scores_gemma":[0.9862866,0.001473744,0.006955784,0.0001049157,0.00004629544,0.00003053054,0.001681321,0.00002675384,0.003393976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002165417,"threshold_uncertainty_score":0.005657494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004611593022732427,"score_gpt":0.1927654730020877,"score_spread":0.1881538799793553,"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."}}