{"id":"W6949596008","doi":"10.5281/zenodo.3867080","title":"Megaphyllum vicinum","year":2017,"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":"BC Research (Canada)","funders":"","keywords":"Distribution (mathematics); Context (archaeology); Identification (biology)","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":[0.0000926192,0.0003192206,0.00020554,0.001118476,0.0005548505,0.0002526531,0.0004693065,0.0002875943,0.009803141],"category_scores_gemma":[0.000298204,0.0001202342,0.0001104198,0.0005868638,0.0002399411,0.0006134649,0.000577797,0.0002952222,0.004338382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004526394,"about_ca_system_score_gemma":0.0002406404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004391609,"about_ca_topic_score_gemma":0.007106475,"domain_scores_codex":[0.9998693,0.00001927279,0.00001320134,0.00003651603,0.00003633452,0.00002521617],"domain_scores_gemma":[0.9998771,0.00001332428,0.00005635362,0.000009234461,0.00002495331,0.0000190129],"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":[0.0004356408,0.000110361,0.02953729,0.001641691,0.0001068736,0.001804261,0.001788597,0.0009278166,0.1706712,0.009266926,0.0105387,0.7731706],"study_design_scores_gemma":[0.00004439731,0.0003090501,0.3535643,0.000332976,0.0001046483,0.007660088,0.001112345,0.001246659,0.009135446,0.00171219,0.6247456,0.0000322819],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.387838,0.04411922,0.01072368,0.0008322796,0.0006193087,0.0005475749,0.006073111,0.000959841,0.548287],"genre_scores_gemma":[0.9632066,0.00354393,0.004338139,0.0002760584,0.0001073835,0.00008921653,0.003703568,0.00005849814,0.02467652],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009803141,"threshold_uncertainty_score":0.03279477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03914523211712315,"score_gpt":0.2319583362184323,"score_spread":0.1928131041013091,"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."}}