{"id":"W6886061840","doi":"10.14286/hw3ldr","title":"Robichaud sturgeon","year":2023,"lang":"en","type":"dataset","venue":"Ocean Tracking Network","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ocean Tracking Network","funders":"","keywords":"Key (lock); Open source; Sturgeon; Fish <Actinopterygii>","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001664291,0.001058974,0.001138204,0.0004017132,0.0004582709,0.0003944178,0.001548923,0.0009582031,0.0003453523],"category_scores_gemma":[0.0003179102,0.001119889,0.0004465448,0.002069952,0.0001517056,0.0001725437,0.0004482128,0.002020531,0.1371617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003100066,"about_ca_system_score_gemma":0.0001754361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004148159,"about_ca_topic_score_gemma":0.001280315,"domain_scores_codex":[0.9944612,0.0003420953,0.0008900809,0.00134796,0.001085817,0.001872874],"domain_scores_gemma":[0.9959883,0.0006000776,0.0008276539,0.002099754,0.0001534268,0.0003307505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004671739,0.00007801587,0.0001075182,0.0001729018,0.0002864975,0.0005004211,0.00001511448,0.007523168,5.570736e-7,0.00001722903,0.9909174,0.0003344241],"study_design_scores_gemma":[0.0003348831,0.00005875884,0.0006965613,0.001059039,0.000378779,0.00002576152,0.00001196582,0.00006336605,0.000001188464,0.0003473927,0.9959004,0.001121911],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005237101,0.001103742,0.000004292844,0.00004198915,0.006420127,0.0005683929,0.9900093,0.001630785,0.0001689986],"genre_scores_gemma":[0.00004210863,0.0004179249,0.00008407618,0.0002544872,0.009545272,0.00001498283,0.9872718,0.0006934881,0.001675864],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1368164,"threshold_uncertainty_score":0.9991251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02912220680347193,"score_gpt":0.2797875596489415,"score_spread":0.2506653528454695,"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."}}