{"id":"W4398930210","doi":"10.7910/dvn/qpa1b/skspix","title":"HPdataFormat3.html","year":2015,"lang":"ca","type":"dataset","venue":"Harvard Dataverse","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Oceanography; Mooring; Nova scotia; Hydrophone; Geology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000618893,0.0007140287,0.0006262987,0.0003160918,0.000421814,0.0006525203,0.005076745,0.0004073301,0.004587706],"category_scores_gemma":[0.0001533572,0.0007494076,0.0002000638,0.0008602406,0.0002330967,0.002122023,0.00382182,0.0008596594,0.3848521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003288071,"about_ca_system_score_gemma":0.0007935658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001145899,"about_ca_topic_score_gemma":0.00002256484,"domain_scores_codex":[0.9956943,0.0001228335,0.0008864234,0.001362175,0.001165802,0.0007684607],"domain_scores_gemma":[0.9935142,0.0001436686,0.0006666631,0.004504848,0.0005675496,0.0006030036],"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":[0.0000147084,0.0001901916,4.974673e-7,0.00007118726,0.00004548562,0.00007831448,0.00004193313,0.0002371548,0.000006663121,0.01647837,0.9785249,0.00431061],"study_design_scores_gemma":[0.000436722,0.0001326836,0.000004811486,0.0001189993,0.00007652433,0.0001384505,0.00002888628,0.01211821,0.00002941745,0.008708855,0.9773799,0.000826599],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001422601,0.000003912283,0.2998326,0.00006417939,0.0005805185,0.0005491411,0.697442,0.0002904558,0.001235744],"genre_scores_gemma":[0.00002275381,0.000487977,0.09371197,0.001509439,0.0005271271,0.0001485774,0.9027585,0.00003970915,0.0007939357],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3802644,"threshold_uncertainty_score":0.9994957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0301785709523447,"score_gpt":0.295961002119558,"score_spread":0.2657824311672133,"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."}}