{"id":"W6893543729","doi":"10.5281/zenodo.3790284","title":"Lasionycta taigata Lafontaine 1988","year":2009,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Boreal; Taiga; Sequence (biology); Northern italy; Peat","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00008347279,0.0002344463,0.0001383948,0.0007699937,0.001417192,0.0004192576,0.0003617448,0.0002179397,0.01965161],"category_scores_gemma":[0.0001573908,0.00008656318,0.0001037178,0.0008074509,0.0002873342,0.0004717447,0.0004283963,0.0003767686,0.003636522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002147351,"about_ca_system_score_gemma":0.001254401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2561996,"about_ca_topic_score_gemma":0.5697095,"domain_scores_codex":[0.9999216,0.00000635917,0.000004686213,0.00002344537,0.00002452704,0.00001940108],"domain_scores_gemma":[0.9998907,0.00001233797,0.00002787338,0.000007674716,0.00005101703,0.00001034245],"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":[0.0004006732,0.0001102672,0.1108643,0.0006711677,0.00006823631,0.00350759,0.004289315,0.0005645278,0.02153234,0.00630111,0.1317317,0.7199588],"study_design_scores_gemma":[0.0000275413,0.00005740296,0.3047555,0.0004254499,0.00003114953,0.001712093,0.003332283,0.0002402356,0.001607154,0.0003990446,0.6873972,0.00001499262],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4015914,0.007028714,0.001974849,0.001745364,0.0002194752,0.0002254858,0.009224095,0.0007154892,0.5772752],"genre_scores_gemma":[0.8626481,0.003421132,0.003098109,0.0006492964,0.00006321845,0.0001949964,0.008539038,0.00007132938,0.1213147],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2561996,"threshold_uncertainty_score":0.5094166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02848064972660512,"score_gpt":0.2292635905571048,"score_spread":0.2007829408304997,"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."}}