{"id":"W6912980428","doi":"10.5281/zenodo.6080369","title":"Micranurida spirillifera Hammer 1953","year":2016,"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":"","funders":"","keywords":"Hammer; Deformation (meteorology); Frame (networking); Welding","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":[0.0001321882,0.0006029254,0.0002161488,0.001215681,0.001189863,0.0002519913,0.0005640292,0.0003551177,0.01570645],"category_scores_gemma":[0.0003181017,0.00024275,0.0001765619,0.0007631319,0.0003368081,0.0005063803,0.00119992,0.0002456153,0.004301256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006535913,"about_ca_system_score_gemma":0.0003097423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01428957,"about_ca_topic_score_gemma":0.02003925,"domain_scores_codex":[0.9998683,0.00001334594,0.00001302259,0.00003571442,0.00004385054,0.00002578563],"domain_scores_gemma":[0.9998916,0.00001808477,0.0000335138,0.00001364111,0.0000276113,0.000015501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005927878,0.00008990983,0.09506824,0.001299499,0.00014267,0.004045279,0.003166412,0.002039769,0.1997638,0.008697261,0.02231141,0.662783],"study_design_scores_gemma":[0.0000512034,0.0002274734,0.725628,0.0002972332,0.0000696351,0.004022495,0.0009964979,0.0004700605,0.006008179,0.0005836584,0.2616016,0.00004404229],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6210146,0.009056796,0.004263083,0.0003153573,0.0003102805,0.0002260029,0.004284156,0.0007247102,0.359805],"genre_scores_gemma":[0.9666368,0.001582893,0.001674413,0.0001297985,0.00004809029,0.00007804186,0.001635737,0.00003404721,0.02818009],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01570645,"threshold_uncertainty_score":0.05254328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0288808050399469,"score_gpt":0.2071984245517723,"score_spread":0.1783176195118254,"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."}}