{"id":"W6912795497","doi":"10.5281/zenodo.6093730","title":"Sertularella cervicula Choong, 2015, sp. nov.","year":2015,"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":"","funders":"","keywords":"Apex (geometry); Margin (machine learning); Ridge; Plant stem; Hydrozoa","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002294763,0.001130337,0.0005883816,0.002383374,0.001864776,0.0008564445,0.0008196079,0.001037612,0.007945098],"category_scores_gemma":[0.00126431,0.0004230082,0.0002701058,0.001602501,0.0009364367,0.001375509,0.00138726,0.001043579,0.003920817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001559584,"about_ca_system_score_gemma":0.0010973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05380788,"about_ca_topic_score_gemma":0.1162157,"domain_scores_codex":[0.9996861,0.00002237051,0.00003099181,0.0001306218,0.00008591694,0.00004402153],"domain_scores_gemma":[0.9996186,0.00006782515,0.00008875829,0.00004832005,0.0001271857,0.00004925315],"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":[0.001102919,0.0001689477,0.1205059,0.003691676,0.0003153896,0.006135243,0.006841258,0.003402765,0.03847156,0.00428217,0.04177327,0.7733089],"study_design_scores_gemma":[0.0003043321,0.0003351106,0.3903299,0.004193591,0.0006401275,0.01859727,0.006700985,0.001469134,0.008130457,0.002855366,0.5663182,0.0001254174],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5240517,0.06916486,0.01069363,0.002180098,0.00250956,0.00149331,0.02775025,0.001478626,0.360678],"genre_scores_gemma":[0.9102669,0.0165038,0.0137209,0.001325246,0.0002762533,0.000570278,0.01555098,0.0001158423,0.0416697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05380788,"threshold_uncertainty_score":0.1069894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04850483818245635,"score_gpt":0.2749831141546499,"score_spread":0.2264782759721936,"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."}}