{"id":"W6946651386","doi":"10.34943/87421126-e901-4872-bbb6-6a97688d9ae2","title":"Baynes Sound Conductivity Temperature Depth Deployed 2021-10-05","year":2021,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conductivity; Pressure sensor; Temperature measurement; Sound (geography); Turbidity; Data acquisition; Noise (video); Global Positioning System; Digital data","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"],"consensus_categories":[],"category_scores_codex":[0.0001735923,0.0006066618,0.0005692765,0.00001084572,0.0003903946,0.000100286,0.0004602289,0.0008382709,0.00004819508],"category_scores_gemma":[0.00004956513,0.0006033193,0.0004057955,0.000165758,0.000165207,0.000001117684,0.0004300982,0.0005781044,3.329908e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000121879,"about_ca_system_score_gemma":0.00149144,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04288312,"about_ca_topic_score_gemma":0.592954,"domain_scores_codex":[0.9976752,0.0001174165,0.0003365047,0.0009237795,0.000303837,0.0006432991],"domain_scores_gemma":[0.9983578,0.00004835308,0.0002116917,0.0009450891,0.0002187919,0.000218292],"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":[0.00001485826,0.00003524502,0.0001749149,0.00005967505,0.0007837755,0.00002802267,0.000007629905,0.001304982,0.0009614347,6.363973e-7,0.9965509,0.00007789981],"study_design_scores_gemma":[0.0003243191,0.00006069477,0.0002644045,0.00002580383,0.0001729454,0.00002513191,0.000180704,0.00003546452,0.0003671887,0.000006419445,0.9978792,0.0006577205],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03210348,0.01791446,0.00001593792,0.0001676153,0.001938455,0.0002812808,0.9475572,0.000004779632,0.00001682688],"genre_scores_gemma":[0.02562704,0.006495055,0.0001315864,0.001831525,0.002884027,0.00001576889,0.9618813,0.00007248441,0.001061203],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5500708,"threshold_uncertainty_score":0.9996418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00748782925064369,"score_gpt":0.20938742426621,"score_spread":0.2018995950155663,"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."}}