{"id":"W6912411933","doi":"10.5281/zenodo.3867102","title":"Megaphyllum recticauda","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); Natural (archaeology); Product (mathematics); 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":[0.00007952538,0.0004313541,0.0001811954,0.0011183,0.0008222006,0.0001661549,0.0004629841,0.000349002,0.02120802],"category_scores_gemma":[0.0002179892,0.0001679736,0.0001470716,0.0007352133,0.0002640482,0.000611139,0.0006471262,0.0004220108,0.00709212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003686265,"about_ca_system_score_gemma":0.0002690173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008820005,"about_ca_topic_score_gemma":0.01899149,"domain_scores_codex":[0.9999248,0.000008323154,0.000006783553,0.0000221831,0.00001944623,0.00001843117],"domain_scores_gemma":[0.9998617,0.00001493051,0.00005915002,0.00001391656,0.00003022491,0.00002001058],"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":[0.0004295696,0.0001144978,0.04025104,0.001056364,0.00005085765,0.001406702,0.001844274,0.0004793649,0.1290785,0.005714304,0.01809969,0.8014749],"study_design_scores_gemma":[0.00004527382,0.0002687235,0.4653626,0.0003369135,0.00004097899,0.002859417,0.0008839656,0.0003988151,0.005509235,0.0007924659,0.523478,0.00002370061],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.378031,0.0192626,0.005539267,0.0007997484,0.0003774294,0.0004590653,0.007761796,0.0010006,0.5867684],"genre_scores_gemma":[0.925783,0.00449279,0.00805789,0.0004240765,0.0001522357,0.0002104527,0.007512413,0.00009004945,0.05327716],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02120802,"threshold_uncertainty_score":0.07094789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04416945852368379,"score_gpt":0.2371511729121595,"score_spread":0.1929817143884757,"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."}}