{"id":"W6894020108","doi":"10.5281/zenodo.6687358","title":"Abyssorchomene abyssorum","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 Museum of Nature","funders":"","keywords":"Dorsum; Coracoid; Maxilla; Margin (machine learning); Key (lock)","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":[0.00005752211,0.0006415644,0.0003563588,0.001108696,0.001452103,0.0002590861,0.0003511325,0.0003420038,0.03579184],"category_scores_gemma":[0.0001324838,0.0002092622,0.0001496469,0.0007729263,0.000449005,0.0005934083,0.0007615257,0.0004676168,0.00634532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004773233,"about_ca_system_score_gemma":0.0004228359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01258349,"about_ca_topic_score_gemma":0.02555529,"domain_scores_codex":[0.9999253,0.000009050336,0.000008553085,0.00002286093,0.00002445458,0.000009774397],"domain_scores_gemma":[0.9999546,0.000004558952,0.00001113151,0.000003133624,0.00001563731,0.00001100315],"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":[0.0006704094,0.0002119501,0.02847514,0.002756149,0.0001006361,0.004017428,0.00434936,0.0009427813,0.1049962,0.009023414,0.02887905,0.8155775],"study_design_scores_gemma":[0.0001376027,0.0006583452,0.3273854,0.0007855658,0.0001326798,0.009451378,0.003334591,0.0006231327,0.003056793,0.001952593,0.652446,0.00003603863],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5654078,0.03267894,0.005375554,0.001326277,0.001654938,0.0009083792,0.005493211,0.0007612684,0.3863937],"genre_scores_gemma":[0.9122829,0.006119402,0.006717494,0.0005761104,0.0005094329,0.0002198776,0.002643104,0.00006250934,0.0708693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03579184,"threshold_uncertainty_score":0.1197357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03029681983439813,"score_gpt":0.2485570072266764,"score_spread":0.2182601873922783,"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."}}