{"id":"W6912824556","doi":"10.5281/zenodo.8030484","title":"Roederiodes lawrencei Sinclair 2023, sp. nov.","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 Food Inspection Agency","funders":"","keywords":"Seta; Canyon; Holotype; Sternum; Lower lip; Apex (geometry)","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":[0.0005066632,0.00115622,0.0007132704,0.00209275,0.001979977,0.001355291,0.001385948,0.001388229,0.01557122],"category_scores_gemma":[0.001231226,0.0005728597,0.0003447733,0.002018393,0.0008473384,0.002262455,0.0009749922,0.001592126,0.01655176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002313818,"about_ca_system_score_gemma":0.00149668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06801413,"about_ca_topic_score_gemma":0.1358004,"domain_scores_codex":[0.9995798,0.00003373062,0.00005361254,0.0001191381,0.0001414399,0.00007221755],"domain_scores_gemma":[0.9994876,0.00006852241,0.0001631389,0.00005219979,0.0001609818,0.00006750105],"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":[0.0005617747,0.0001498677,0.03445788,0.001621931,0.0001306445,0.002328565,0.003084473,0.0007901639,0.008872698,0.003123057,0.1577736,0.7871053],"study_design_scores_gemma":[0.0001906954,0.0003286687,0.1753998,0.002559166,0.0004742634,0.009839071,0.0035091,0.0009729126,0.002132904,0.001109166,0.8033515,0.0001327715],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1852126,0.06688748,0.01594957,0.003767357,0.004858988,0.002864141,0.02871231,0.003806342,0.6879413],"genre_scores_gemma":[0.7243023,0.03317333,0.03318188,0.005977725,0.001171049,0.002697603,0.03392639,0.0004040775,0.1651656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06801413,"threshold_uncertainty_score":0.1352365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04321273235119649,"score_gpt":0.2705785646555285,"score_spread":0.227365832304332,"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."}}