{"id":"W6912215770","doi":"10.5281/zenodo.3866846","title":"Megaphyllum erythronotum","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada)","funders":"","keywords":"Epithet; Distribution (mathematics); Habitat; Natural (archaeology)","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":[0.00007467669,0.0003832388,0.0002375863,0.001104455,0.0005716523,0.0002217367,0.0003967459,0.0003526805,0.01706087],"category_scores_gemma":[0.0002018825,0.0001712057,0.0001435381,0.0005647748,0.0001653509,0.0007580853,0.0007619598,0.0004588252,0.00889415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002433614,"about_ca_system_score_gemma":0.0001337291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001713078,"about_ca_topic_score_gemma":0.003260856,"domain_scores_codex":[0.9998953,0.0000125659,0.00000971186,0.00003202563,0.00002840757,0.00002198509],"domain_scores_gemma":[0.9998584,0.00001984328,0.00005402747,0.00001121523,0.00003582124,0.00002065565],"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":[0.0005343148,0.0001639861,0.02420256,0.001002434,0.00007095704,0.002139178,0.0009470618,0.0003738374,0.3866654,0.004509447,0.01386754,0.5655233],"study_design_scores_gemma":[0.00006280726,0.0003206318,0.4063351,0.000248082,0.00006457955,0.008438315,0.0007363052,0.0005097487,0.02069394,0.001151317,0.561404,0.00003506602],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4884745,0.01943507,0.01116525,0.001050792,0.0005953759,0.0005227649,0.008746582,0.001147787,0.4688619],"genre_scores_gemma":[0.9246283,0.002888498,0.007810179,0.0006298232,0.0001670101,0.0001445137,0.006148307,0.0001069712,0.05747646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01706087,"threshold_uncertainty_score":0.05707431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04018569667314331,"score_gpt":0.2742546611853577,"score_spread":0.2340689645122144,"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."}}