{"id":"W6893585965","doi":"10.5281/zenodo.3794215","title":"Corylus cornuta subsp. cornuta","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Plant Ecology and Taxonomy Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subspecies; Flora (microbiology); Genus; Nomenclature; Extant taxon; Taxonomy (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":[0.000112969,0.0005264204,0.0002005151,0.001683256,0.001238499,0.0003701711,0.0007489853,0.0003391682,0.03382505],"category_scores_gemma":[0.0003701632,0.0001376313,0.0001867168,0.001102463,0.0004849205,0.0005782358,0.001022804,0.0005189293,0.007687782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009467671,"about_ca_system_score_gemma":0.0005832721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04799091,"about_ca_topic_score_gemma":0.1419207,"domain_scores_codex":[0.9998524,0.000008644343,0.00001013776,0.00005096246,0.00005061779,0.00002711277],"domain_scores_gemma":[0.9998131,0.00001903789,0.00005072471,0.00002280528,0.00007256652,0.00002169038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004869503,0.0001620509,0.06173671,0.0008949487,0.00004956572,0.003155969,0.002021113,0.0004501218,0.03944751,0.01152971,0.05445633,0.8256092],"study_design_scores_gemma":[0.00005740564,0.0001824708,0.2769052,0.00040822,0.00004821117,0.00366815,0.002531388,0.0002894567,0.007855035,0.002167387,0.705835,0.00005199083],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3027276,0.00609596,0.002765045,0.00117243,0.001107151,0.0006258939,0.008109612,0.0005157943,0.6768805],"genre_scores_gemma":[0.8889675,0.001105139,0.004408129,0.0004300742,0.00008723778,0.0001905212,0.005207924,0.00009373225,0.09950988],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04799091,"threshold_uncertainty_score":0.113156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0503255370026157,"score_gpt":0.2147431263333041,"score_spread":0.1644175893306885,"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."}}