{"id":"W6977131943","doi":"10.6084/m9.figshare.12018069.v1","title":"<i>Discostella lacuskarluki</i> (Manguin ex Kociolek &amp; Reviers) comb. nov.: a common nanoplanktonic diatom of Arctic and boreal lakes","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Wine Industry and Tourism","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tundra; Diatom; Arctic; Boreal; Taiga; Range (aeronautics); Thermokarst; Type locality; Permafrost","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":[0.0001808078,0.0006743448,0.0002185848,0.001102878,0.001567098,0.000656952,0.0005743163,0.0005936609,0.002209921],"category_scores_gemma":[0.0004655919,0.0001903095,0.0001978402,0.001245674,0.0008977836,0.00120805,0.0008622425,0.0005373266,0.001251479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006435807,"about_ca_system_score_gemma":0.0005924021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0231447,"about_ca_topic_score_gemma":0.04326244,"domain_scores_codex":[0.9998285,0.00001175446,0.00002699514,0.00007104396,0.00004090714,0.000020892],"domain_scores_gemma":[0.9997259,0.00004671351,0.000110496,0.00002602588,0.00004378529,0.0000471374],"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":[0.0009227057,0.0001808631,0.3097611,0.003341957,0.0003415665,0.01272345,0.01375606,0.002007839,0.144781,0.002389969,0.01686192,0.4929315],"study_design_scores_gemma":[0.00005812098,0.0002061228,0.864215,0.0005189078,0.0001996101,0.01321835,0.004699856,0.0008501647,0.003764298,0.0004311495,0.1117628,0.0000755996],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9446806,0.01072738,0.003927359,0.0004482057,0.000449899,0.0002517702,0.003420367,0.0004410798,0.0356533],"genre_scores_gemma":[0.9843718,0.003147595,0.00419386,0.0005214835,0.000115637,0.0001685817,0.003168639,0.00003378335,0.004278508],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.0231447,"threshold_uncertainty_score":0.04601997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03513878655967948,"score_gpt":0.2472433669230608,"score_spread":0.2121045803633814,"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."}}