{"id":"W6949994642","doi":"10.5281/zenodo.4377172","title":"Aquilegia canadensis var. canadensis Linnaeus 1753","year":2007,"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":"","funders":"","keywords":"Taxon; Taxonomy (biology); Identification (biology); Division (mathematics); Nomenclature","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":[0.000139083,0.0006530041,0.0002191608,0.002250198,0.001116555,0.000258897,0.0005413598,0.000182463,0.01700005],"category_scores_gemma":[0.0002156348,0.00009237708,0.0001224669,0.001165001,0.00025504,0.0004492103,0.0008869971,0.0002267652,0.003154954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001601287,"about_ca_system_score_gemma":0.0003077073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09915324,"about_ca_topic_score_gemma":0.2987899,"domain_scores_codex":[0.999891,0.0000081034,0.000005672189,0.00004045476,0.00003338296,0.00002132353],"domain_scores_gemma":[0.9999171,0.00001405868,0.00002184341,0.000007729733,0.00002398259,0.00001524353],"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":[0.0005281453,0.0001786959,0.07602127,0.000893477,0.0001716625,0.001518659,0.00228098,0.001484938,0.03531478,0.006122369,0.1147524,0.7607328],"study_design_scores_gemma":[0.00005056249,0.00007864577,0.3096198,0.0001785723,0.0001144676,0.00131685,0.001195652,0.0003407831,0.001678452,0.001347604,0.6840349,0.00004363426],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2632702,0.009654826,0.0014479,0.0006456439,0.0004676922,0.000281139,0.009843124,0.001258889,0.7131305],"genre_scores_gemma":[0.9058775,0.004124416,0.002532616,0.0006931181,0.0001303859,0.0001376492,0.009482149,0.00009128012,0.07693098],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09915324,"threshold_uncertainty_score":0.1971523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03760579717487978,"score_gpt":0.2229585934891934,"score_spread":0.1853527963143137,"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."}}