{"id":"W6968997235","doi":"10.5281/zenodo.5631630","title":"Erpobdella parva Moore 1912","year":2007,"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":"Nearctic ecozone; Table (database); Shore; Theodolite","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":[0.00008127552,0.0002942527,0.0002571032,0.0008206915,0.0007960568,0.000308244,0.0003131229,0.0003190454,0.01493917],"category_scores_gemma":[0.000223453,0.000143409,0.00008020119,0.0003621539,0.0002441015,0.0006165518,0.0006081325,0.0002723846,0.003277855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003539717,"about_ca_system_score_gemma":0.000184317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003423742,"about_ca_topic_score_gemma":0.007266685,"domain_scores_codex":[0.9999094,0.000007008023,0.000007413023,0.00003908716,0.00002215718,0.00001497303],"domain_scores_gemma":[0.9999273,0.00001393532,0.0000234766,0.00000712465,0.00001766781,0.00001049959],"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":[0.0006166976,0.0001658382,0.0657898,0.0006830811,0.00004517498,0.002859017,0.00080607,0.0004775907,0.05409079,0.004863116,0.02949014,0.8401126],"study_design_scores_gemma":[0.00006744654,0.0002665574,0.2840024,0.0004127874,0.00009037687,0.008343797,0.001103516,0.0008810192,0.00833353,0.001202687,0.6952538,0.00004197868],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5660859,0.008140502,0.007092084,0.000697522,0.0008087809,0.0002067788,0.004217188,0.0006500949,0.4121012],"genre_scores_gemma":[0.9360134,0.002802267,0.007041009,0.0007713159,0.0001370119,0.0001261443,0.002516321,0.0000416771,0.05055091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01493917,"threshold_uncertainty_score":0.04997659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0187121563827967,"score_gpt":0.2463241266337528,"score_spread":0.2276119702509561,"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."}}