{"id":"W6912676872","doi":"10.5281/zenodo.5743380","title":"Lepidotrigona latipes","year":2020,"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":"York University","funders":"","keywords":"Type (biology); Representation (politics); Identification (biology); Position (finance)","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":[0.00005911179,0.0004326107,0.0001178443,0.0009555789,0.0006174651,0.000342526,0.0002621721,0.0002909032,0.008319487],"category_scores_gemma":[0.0001095225,0.0001176932,0.0001129552,0.0003506624,0.0002278522,0.0003678171,0.0003722079,0.0002328246,0.003435984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004777553,"about_ca_system_score_gemma":0.0001260108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009336275,"about_ca_topic_score_gemma":0.02079317,"domain_scores_codex":[0.9999584,0.000004010542,0.000002510976,0.00001840228,0.000007435308,0.000009238902],"domain_scores_gemma":[0.9999336,0.00001054954,0.00001991282,0.000004851582,0.00001070472,0.00002030992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001180475,0.00008329123,0.04168379,0.0006930848,0.00006246285,0.003952553,0.001260906,0.000280397,0.8081106,0.001186005,0.005445141,0.1360614],"study_design_scores_gemma":[0.00009002099,0.0005428277,0.8609219,0.0002793566,0.0001018953,0.007306078,0.002222597,0.0003097553,0.01831477,0.000440387,0.1094254,0.00004506717],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8649558,0.007267835,0.001232327,0.000288823,0.00007789528,0.00007920674,0.002587079,0.0002235121,0.1232875],"genre_scores_gemma":[0.9707334,0.002049162,0.001414336,0.0004215917,0.00002885147,0.00004513661,0.00146749,0.00002006118,0.02382011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009336275,"threshold_uncertainty_score":0.02783149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03009522651406025,"score_gpt":0.2358891482263832,"score_spread":0.2057939217123229,"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."}}