{"id":"W6969022100","doi":"10.5281/zenodo.6187252","title":"Pelonaia corrugata Goodsir & Forbes 1841","year":2011,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dorsum; The arctic; Keel; Seta; Taxonomy (biology)","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":[0.0001176107,0.0006985852,0.0002905606,0.001291155,0.001416538,0.0005475435,0.0004146648,0.0003606435,0.01060364],"category_scores_gemma":[0.000458105,0.0002594712,0.0001829447,0.0007454487,0.0006658435,0.0007029849,0.0006323378,0.0003787736,0.002055841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009084074,"about_ca_system_score_gemma":0.0005162553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03585398,"about_ca_topic_score_gemma":0.08329822,"domain_scores_codex":[0.999779,0.00001550315,0.00001628568,0.00007941098,0.00007693481,0.00003271523],"domain_scores_gemma":[0.9998802,0.00001766072,0.00002853835,0.00001046624,0.00005120942,0.00001194514],"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":[0.000322841,0.00008796236,0.04232306,0.001176015,0.0001230714,0.002613897,0.002716636,0.000658774,0.02885402,0.005017501,0.03960761,0.8764986],"study_design_scores_gemma":[0.00003843521,0.0002154155,0.3815501,0.0004947947,0.0001313025,0.008594297,0.001817943,0.000439658,0.002615116,0.0007398946,0.6033241,0.00003893191],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.4444347,0.03081485,0.006784199,0.0005940567,0.001480308,0.0005712285,0.003034887,0.0008668434,0.5114189],"genre_scores_gemma":[0.9659823,0.004697188,0.003164073,0.0002626909,0.0001398546,0.00008377181,0.001053149,0.00004216041,0.02457497],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03585398,"threshold_uncertainty_score":0.07129055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05565868196603306,"score_gpt":0.2518321801834305,"score_spread":0.1961734982173974,"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."}}