{"id":"W6948745853","doi":"10.5281/zenodo.10392940","title":"Nupela tenuicephala Lange-Bertalot","year":2023,"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":"Canadian Museum of Nature; Center for Northern Studies","funders":"","keywords":"Navicula; Relative species abundance; Abundance (ecology); Range (aeronautics); Diatom","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":[0.0000563685,0.0004742479,0.0001982392,0.0009790168,0.0009379918,0.0003606471,0.0003451673,0.0002763099,0.02813022],"category_scores_gemma":[0.000162304,0.0001290159,0.000152086,0.0006630164,0.0002381663,0.0005740148,0.0005820423,0.0004154738,0.006587198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005091386,"about_ca_system_score_gemma":0.0003139827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02196251,"about_ca_topic_score_gemma":0.05478174,"domain_scores_codex":[0.9999415,0.000003894039,0.000003107602,0.00002100267,0.00002062476,0.000009968235],"domain_scores_gemma":[0.9999474,0.000008303236,0.00001941939,0.00000483183,0.00001286579,0.000007114649],"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":[0.000504311,0.00007971138,0.01306602,0.0007478839,0.00004943137,0.003252986,0.001352847,0.0009260665,0.03423749,0.004823857,0.05748628,0.8834732],"study_design_scores_gemma":[0.00003665061,0.0001191213,0.09577706,0.0005129231,0.00007544347,0.005738832,0.0009202574,0.0005820606,0.005704407,0.001192778,0.8893095,0.00003104319],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1571422,0.0223194,0.00717651,0.001006021,0.000739812,0.0003586898,0.007945407,0.001277157,0.8020347],"genre_scores_gemma":[0.811691,0.01225325,0.008521226,0.0006161116,0.0001916296,0.0001832035,0.005869018,0.0001465782,0.160528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02813022,"threshold_uncertainty_score":0.09410489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04151920442659685,"score_gpt":0.2693175597375838,"score_spread":0.227798355310987,"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."}}