{"id":"W6950269061","doi":"10.5281/zenodo.6050877","title":"Levinsenia gracilis","year":2017,"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":"Ridge; Fjord; Baltic sea; Continental shelf; Nautical mile","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":[0.0001469532,0.001053382,0.0003684876,0.001797261,0.001477021,0.0006129479,0.0004069527,0.0006457948,0.01672956],"category_scores_gemma":[0.0005140971,0.0002308965,0.000174209,0.001300659,0.0007063245,0.001261313,0.001044507,0.0006118194,0.005808135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001409098,"about_ca_system_score_gemma":0.0005111319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01139707,"about_ca_topic_score_gemma":0.02563974,"domain_scores_codex":[0.9997848,0.00003026198,0.00002063638,0.00007257339,0.00005995696,0.00003178647],"domain_scores_gemma":[0.999832,0.00002358907,0.00006650719,0.00001440391,0.00005006724,0.00001339946],"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":[0.0002377083,0.00006243205,0.0159081,0.0008542768,0.00005435624,0.002431877,0.002985632,0.001274134,0.02024054,0.01595567,0.04396434,0.896031],"study_design_scores_gemma":[0.0000517338,0.0001533938,0.08356775,0.0006528263,0.00005086311,0.004567441,0.0008961244,0.0005155195,0.002979525,0.004114231,0.9024112,0.00003928414],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2486211,0.06451851,0.01051098,0.002820828,0.001933407,0.0004339946,0.005199817,0.002044508,0.6639169],"genre_scores_gemma":[0.837231,0.01437563,0.00822836,0.001677796,0.0003688366,0.0002056601,0.002919316,0.000190358,0.134803],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01672956,"threshold_uncertainty_score":0.05596596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04676824091708585,"score_gpt":0.278798354935979,"score_spread":0.2320301140188932,"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."}}