{"id":"W6893790946","doi":"10.5281/zenodo.5189303","title":"Craniella polyura","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Marine Sponges and Natural Products","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sponge spicule; Table (database); Bay; Thin layer; Section (typography)","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":[0.0001458325,0.001533453,0.0004926135,0.003228439,0.002487837,0.0009603638,0.0008553577,0.0005999772,0.06546849],"category_scores_gemma":[0.00056927,0.0004373425,0.0004090499,0.001698979,0.001312343,0.001361003,0.002434685,0.00109915,0.01353125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009761499,"about_ca_system_score_gemma":0.0008377862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00700924,"about_ca_topic_score_gemma":0.01606453,"domain_scores_codex":[0.9995592,0.0000388813,0.00003315092,0.0001564136,0.0001406948,0.0000716234],"domain_scores_gemma":[0.9997328,0.00002441656,0.00008761468,0.00004761565,0.00006540083,0.00004215026],"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":[0.0006280269,0.000126604,0.02578062,0.001962151,0.0001757187,0.002405132,0.001978165,0.0006889512,0.04238167,0.02214126,0.07465695,0.8270748],"study_design_scores_gemma":[0.00006557669,0.000243808,0.1921628,0.0004170533,0.0001141289,0.008513869,0.001053328,0.0002863767,0.003312393,0.003350138,0.7903953,0.00008526564],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2088126,0.01708826,0.01536267,0.0008516426,0.001592077,0.00108305,0.02189083,0.003890087,0.7294289],"genre_scores_gemma":[0.8785532,0.005581143,0.01262391,0.000775002,0.0005255035,0.0004704253,0.01331276,0.0007049889,0.08745301],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06546849,"threshold_uncertainty_score":0.2190139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01254074372171425,"score_gpt":0.2235046311256518,"score_spread":0.2109638874039375,"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."}}