{"id":"W6969561435","doi":"10.5281/zenodo.7398895","title":"Sancassania berlesei","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Marine Toxins and Detection Methods","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Czech; Fish <Actinopterygii>; Southern Iran; Residue (chemistry)","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009309537,0.00008194323,0.00007711088,0.00007412687,0.003626187,0.0001997222,0.0006744366,0.0000189524,0.4111516],"category_scores_gemma":[0.000171833,0.00009057781,0.00003990756,0.0005755186,0.0001017517,0.0001258458,0.003104088,0.0002595239,0.009733506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002467531,"about_ca_system_score_gemma":7.336616e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005720327,"about_ca_topic_score_gemma":4.754486e-7,"domain_scores_codex":[0.9984208,0.0004571679,0.0001462453,0.0003126577,0.0004177497,0.0002453609],"domain_scores_gemma":[0.9994476,0.00001401083,0.00005869669,0.0003336107,0.00002534314,0.0001207095],"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":[0.0000562516,0.0001553837,0.0000627569,0.000007826512,0.00001201593,0.00001868054,0.0005695269,0.001205989,0.01416677,0.001307508,0.4862302,0.4962071],"study_design_scores_gemma":[0.0002002284,0.0001735122,0.002585466,7.080445e-7,0.000003583483,0.0001345253,0.0001689459,0.0007085981,0.0002545197,0.000302228,0.9953572,0.0001105186],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07285109,0.00001828057,0.006752329,0.0006315944,0.0001766751,0.0003096054,0.0000818565,0.0007567781,0.9184218],"genre_scores_gemma":[0.9855009,0.00001350605,0.002299218,0.0004857486,0.00009462256,1.223684e-7,0.0002852512,0.0009510113,0.01036961],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9126498,"threshold_uncertainty_score":0.9976709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02965980936518461,"score_gpt":0.2480220088123524,"score_spread":0.2183621994471678,"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."}}