{"id":"W6893703653","doi":"10.5281/zenodo.4689386","title":"Latreillia pennifera Alcock 1900","year":2003,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Holotype; Type (biology); China; Paratype","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":[0.000173492,0.0005439125,0.0002198137,0.001585085,0.001739428,0.0007112735,0.0005721156,0.0003890998,0.0186333],"category_scores_gemma":[0.0003334469,0.0002887556,0.0001397222,0.001045994,0.0005264896,0.001307998,0.001306072,0.0004631924,0.005483091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005854512,"about_ca_system_score_gemma":0.000292344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0175139,"about_ca_topic_score_gemma":0.05612847,"domain_scores_codex":[0.9997941,0.00002614952,0.00001321397,0.00005239102,0.00006831064,0.00004593785],"domain_scores_gemma":[0.9997734,0.0000330795,0.00009104375,0.0000146245,0.00006203863,0.00002575159],"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":[0.0003538953,0.0001380258,0.06699499,0.00101677,0.00007582703,0.001513745,0.003087737,0.000356555,0.01806938,0.006006421,0.05224265,0.850144],"study_design_scores_gemma":[0.00003265152,0.0001206978,0.2136641,0.0003894973,0.0000773268,0.003138304,0.001002886,0.0002111008,0.001439508,0.001026369,0.7788634,0.0000341866],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2589394,0.01388538,0.002649671,0.0005654229,0.0003143705,0.0003016774,0.003114492,0.0005854061,0.7196442],"genre_scores_gemma":[0.9097054,0.005747244,0.003260302,0.0004872704,0.0002648763,0.0001542684,0.0018514,0.00007767375,0.0784516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0186333,"threshold_uncertainty_score":0.0623346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03173985060278918,"score_gpt":0.2245853143043806,"score_spread":0.1928454637015914,"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."}}