{"id":"W7161941387","doi":"10.82308/28648","title":"Quantification of biogenic turbulence","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Aquatic Ecosystems and Biodiversity","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Turbulence; Turbulence kinetic energy; Panache; Statistical analysis","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001194695,0.00008288773,0.0001150891,0.00002012945,0.00004666017,0.00000539629,0.0001889364,0.0001202207,0.01079137],"category_scores_gemma":[0.00001368754,0.00006742443,0.00005430881,0.0001051718,0.00004664961,0.00005023213,0.00002605516,0.00003650443,0.00321119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003603616,"about_ca_system_score_gemma":0.000008057749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001436771,"about_ca_topic_score_gemma":0.002011898,"domain_scores_codex":[0.999335,0.00001235612,0.0001730491,0.0002000648,0.0002003635,0.00007919758],"domain_scores_gemma":[0.9995524,0.000008549836,0.0002006405,0.0001982809,0.00001336473,0.00002674637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003107976,0.0007573797,0.2323341,0.001053597,0.0002287984,0.000006196368,0.00648831,0.00002879395,0.2744265,0.001655677,0.4176357,0.06507406],"study_design_scores_gemma":[0.0004388676,0.0003911051,0.5385746,0.0002681036,0.0002435304,0.00000352032,0.00347992,0.002181812,0.3948034,0.001093565,0.05736552,0.001156005],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.917134,0.0000249007,0.0001275074,0.000009339871,0.0003060949,0.0001446199,0.00001730022,0.0000151677,0.08222104],"genre_scores_gemma":[0.9681656,0.00002412057,0.0009854727,0.000009805736,0.00002145674,0.000002319782,0.0002368435,0.000004588662,0.03054977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3602702,"threshold_uncertainty_score":0.9975649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459742969871864,"score_gpt":0.2278736169742376,"score_spread":0.2132761872755189,"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."}}