{"id":"W6968872679","doi":"10.5281/zenodo.7175090","title":"Gondwanodromia thredbo Sinclair & Saigusa 2022, sp. nov.","year":2022,"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; Holotype; Wing; Spur; Scutellum","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":[0.0001779817,0.001205079,0.0004343934,0.001723898,0.001589366,0.0006749243,0.0007514302,0.001115763,0.01467454],"category_scores_gemma":[0.0004028111,0.0004028989,0.000257246,0.002040235,0.0006362594,0.001401055,0.0008155758,0.001075827,0.01057707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007702627,"about_ca_system_score_gemma":0.0006629953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02558364,"about_ca_topic_score_gemma":0.06021059,"domain_scores_codex":[0.9998443,0.00001062869,0.000018852,0.00006503932,0.00003604471,0.00002513235],"domain_scores_gemma":[0.9998416,0.00001789836,0.00005623941,0.00002193714,0.00003409077,0.00002818515],"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":[0.000668954,0.0002065353,0.04147345,0.001562833,0.0001414762,0.003524565,0.002744031,0.001043561,0.02759478,0.0037147,0.08813025,0.8291949],"study_design_scores_gemma":[0.0002002591,0.0002862528,0.2508933,0.001298419,0.0002426627,0.007315926,0.00293115,0.0008008457,0.002093617,0.0009943079,0.7328734,0.00006983815],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3140821,0.01967955,0.008318529,0.001900476,0.003239485,0.001979834,0.02706419,0.001329968,0.6224059],"genre_scores_gemma":[0.7634483,0.0161151,0.02942593,0.00386154,0.0007705202,0.001813016,0.03473745,0.000437906,0.1493902],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02558364,"threshold_uncertainty_score":0.05086941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03365712187142869,"score_gpt":0.2571460363172666,"score_spread":0.2234889144458379,"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."}}