{"id":"W7140091408","doi":"10.34943/8999a10e-9ea2-49cd-ab8d-0c1c2568b777","title":"Main Endeavour Field South Bottom Pressure Recorder Deployed 2020-09-08","year":2020,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Software deployment; Ocean bottom; Field (mathematics); Hydrothermal vent; Data quality; Quality (philosophy)","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":[0.0007798694,0.001369655,0.000737006,0.001966886,0.0007519395,0.00113561,0.0018685,0.001021196,0.01727615],"category_scores_gemma":[0.002199212,0.0003556123,0.0004555156,0.003300218,0.0003589816,0.0009184823,0.001123598,0.001034108,0.03205656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00199403,"about_ca_system_score_gemma":0.003201269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2660725,"about_ca_topic_score_gemma":0.4002865,"domain_scores_codex":[0.9993415,0.00005799784,0.00004558223,0.0001827107,0.0002400269,0.0001320265],"domain_scores_gemma":[0.9987898,0.00007805973,0.0000718965,0.0002153913,0.0006915376,0.000153329],"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":[0.00006762997,0.00002317056,0.002264666,0.0001406533,0.00001516629,0.00003313766,0.0000253639,0.0004144677,0.0002750605,0.0003798583,0.9931914,0.003169393],"study_design_scores_gemma":[0.0001358906,0.00002393493,0.02281004,0.0001740052,0.0000180945,0.00006580451,0.0001958964,0.001619172,0.0008117025,0.0008486037,0.9732497,0.00004714098],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006414254,0.00003744025,0.0001114382,0.00007383641,0.00002818013,0.00001483661,0.9972391,0.0003376862,0.001516153],"genre_scores_gemma":[0.0007871852,0.00001875742,0.0002459356,0.00002473093,0.000004852457,0.0000245977,0.997918,0.00003039825,0.000945675],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2660725,"threshold_uncertainty_score":0.5290476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007110789451945376,"score_gpt":0.2021632367773067,"score_spread":0.1950524473253613,"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."}}