{"id":"W6911823201","doi":"10.5281/zenodo.13727359","title":"Atriplex schugnanica Iljin 1936","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Bryophyte Studies and Records","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ontario Museum","funders":"","keywords":"Atriplex; Sensu; Focus (optics); Vegetation (pathology)","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":[0.00009140522,0.0002933737,0.0002489912,0.0007727087,0.0006945351,0.0002458073,0.0004019544,0.0001565027,0.006024484],"category_scores_gemma":[0.0000958627,0.000117927,0.0001278858,0.0007624762,0.0002400826,0.0005589926,0.0004745882,0.0004860223,0.002069096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004551679,"about_ca_system_score_gemma":0.0001810331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009245605,"about_ca_topic_score_gemma":0.01354747,"domain_scores_codex":[0.9999273,0.000004477282,0.000007230321,0.00003304284,0.00001555006,0.00001246846],"domain_scores_gemma":[0.9999444,0.000009016541,0.00002346676,0.000006188161,0.00001006151,0.000006817255],"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":[0.001016946,0.0002196186,0.08503836,0.0008267306,0.0001088228,0.003358438,0.003624414,0.001199096,0.2323214,0.006055777,0.02059209,0.6456383],"study_design_scores_gemma":[0.0001382864,0.000312345,0.6648163,0.0002316759,0.0001870149,0.003788933,0.002176349,0.0005402559,0.02073671,0.001202814,0.3058237,0.00004558594],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6753734,0.003371769,0.003627454,0.0002682288,0.0001433838,0.0002134545,0.005497702,0.0004027707,0.3111019],"genre_scores_gemma":[0.9635753,0.001337984,0.003145196,0.0002855869,0.00003960785,0.0001044336,0.006867277,0.00005003197,0.0245945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009245605,"threshold_uncertainty_score":0.02015388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03486390138911555,"score_gpt":0.2234878572954724,"score_spread":0.1886239559063569,"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."}}