{"id":"W6912733707","doi":"10.5281/zenodo.4907069","title":"Gagea (sect. Anthericoides) A. Terrac.","year":2011,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mediterranean and Iberian flora and fauna","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ontario Museum","funders":"","keywords":"Genus; Section (typography); Sister; Tepal; White (mutation)","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":[0.0001497873,0.0005579782,0.0002497477,0.001399031,0.00148652,0.0003600686,0.0004408394,0.0002646311,0.009948782],"category_scores_gemma":[0.0001743634,0.0001257769,0.0001934014,0.0005610748,0.0003273471,0.0003614655,0.0005866267,0.0003882278,0.001932937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005069964,"about_ca_system_score_gemma":0.0003210525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01098494,"about_ca_topic_score_gemma":0.02031642,"domain_scores_codex":[0.9999048,0.00001075486,0.000006181216,0.00004462877,0.00001921414,0.00001450546],"domain_scores_gemma":[0.9999034,0.00001483335,0.00002968179,0.00001069089,0.00002317614,0.00001826084],"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":[0.0006846354,0.0002563136,0.09169982,0.001370862,0.0002442573,0.003386983,0.003923102,0.00145726,0.1038357,0.008121111,0.01200789,0.7730121],"study_design_scores_gemma":[0.00005985877,0.0004209033,0.7317514,0.000307051,0.0001380141,0.007081074,0.001966397,0.0007711856,0.003567482,0.002370646,0.2515157,0.00005035151],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.823774,0.01157259,0.003240749,0.0003186809,0.000275812,0.0003186615,0.002270996,0.0009125557,0.1573159],"genre_scores_gemma":[0.9522099,0.001619075,0.006464232,0.0004266954,0.00009444474,0.0001077401,0.002297943,0.00003375939,0.03674617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01098494,"threshold_uncertainty_score":0.03328204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08676362595877948,"score_gpt":0.2140791802052957,"score_spread":0.1273155542465162,"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."}}