{"id":"W6912131734","doi":"10.5281/zenodo.15801420","title":"Parapterogramma gonitellum Kuwahara, Marshall & Luk, 2025, sp. nov.","year":2025,"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":"University of Guelph","funders":"","keywords":"Data collection; Holotype; Data collection system; Statistical analysis; Etymology","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":[0.0002076998,0.001300546,0.0006295423,0.002187141,0.002764915,0.0008604935,0.0009235694,0.001620033,0.01457173],"category_scores_gemma":[0.0008944648,0.0004620459,0.0003754613,0.002073557,0.001073308,0.002634405,0.001453152,0.001270997,0.006567313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001136247,"about_ca_system_score_gemma":0.001042378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01698853,"about_ca_topic_score_gemma":0.03669319,"domain_scores_codex":[0.9996616,0.00003798059,0.00005863897,0.0001051495,0.00007949704,0.00005723266],"domain_scores_gemma":[0.999674,0.00004386033,0.0001386957,0.00004421817,0.00006389918,0.00003538557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001145591,0.0002852773,0.04957882,0.002638181,0.0002382851,0.005554026,0.002678127,0.001083741,0.02216267,0.003339873,0.06642257,0.8448728],"study_design_scores_gemma":[0.0004425148,0.000390799,0.3974325,0.002738836,0.0004827323,0.01845704,0.005575526,0.001221779,0.003257258,0.001884749,0.5679847,0.0001315451],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4256429,0.05370259,0.02216897,0.004373722,0.005301345,0.00521977,0.03136438,0.002221803,0.4500045],"genre_scores_gemma":[0.8746397,0.02639015,0.01727571,0.003480023,0.0006141083,0.002128426,0.01006395,0.0003028584,0.06510496],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01698853,"threshold_uncertainty_score":0.0487473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03112526891722443,"score_gpt":0.2708136255404192,"score_spread":0.2396883566231947,"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."}}