{"id":"W6950022246","doi":"10.5281/zenodo.3867634","title":"Enantiulus armatus","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":"Woodland; Altitude (triangle); Massif; Habitat; Foothills; Plateau (mathematics); Landform","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":[0.00008589853,0.000582622,0.0002235981,0.001434337,0.0009484297,0.0002963586,0.0003758305,0.0002955341,0.02760486],"category_scores_gemma":[0.000213774,0.0001328135,0.0001700833,0.0005700584,0.0002773542,0.00036704,0.0006419637,0.000203549,0.01092465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003722473,"about_ca_system_score_gemma":0.0001625688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01178924,"about_ca_topic_score_gemma":0.02399226,"domain_scores_codex":[0.9999014,0.00001137746,0.000006302597,0.0000402361,0.00002171906,0.00001900905],"domain_scores_gemma":[0.9998955,0.00001775354,0.00004082347,0.00001107663,0.00001815534,0.00001676301],"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":[0.001427351,0.0002184592,0.06731363,0.0006172208,0.0001011199,0.002724081,0.001019334,0.001020469,0.06388196,0.004778562,0.03025313,0.8266448],"study_design_scores_gemma":[0.00009836417,0.0004680312,0.6306785,0.0002933026,0.0001765842,0.006030943,0.0008571261,0.0008984926,0.005763053,0.001173404,0.3535023,0.00005978516],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3941169,0.0062677,0.00348857,0.0003744678,0.0002806748,0.000267949,0.007879558,0.001520972,0.5858032],"genre_scores_gemma":[0.9199899,0.001268317,0.002500483,0.0004972059,0.0001043712,0.00009863585,0.004438144,0.00004675889,0.07105619],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02760486,"threshold_uncertainty_score":0.09234744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04270327907137362,"score_gpt":0.2795646014864545,"score_spread":0.2368613224150808,"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."}}