{"id":"W7143344615","doi":"10.34943/97d12baa-9562-4a3e-9647-12afc0a3ea42","title":"Main Endeavour Field South Bottom Pressure Recorder Deployed 2023-09-09","year":2023,"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; Quality (philosophy); Data quality; Pressure sensor","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":[0.0007006577,0.001317731,0.0007691222,0.001651381,0.0008128517,0.001101481,0.001856199,0.001089063,0.01912234],"category_scores_gemma":[0.001972541,0.0003374387,0.000487637,0.003119141,0.0003511806,0.0007932131,0.001072777,0.001089902,0.03677424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001864699,"about_ca_system_score_gemma":0.00296336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2355439,"about_ca_topic_score_gemma":0.3631653,"domain_scores_codex":[0.9993373,0.00006035191,0.00004717554,0.0001870568,0.0002290094,0.0001391611],"domain_scores_gemma":[0.9989392,0.00007949833,0.00006296307,0.0002119006,0.0005737877,0.0001326018],"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":[0.00007935995,0.0000252809,0.002244578,0.0001288728,0.00001492975,0.00003748319,0.00002513469,0.0004022862,0.0002913294,0.0003421716,0.9936129,0.002795665],"study_design_scores_gemma":[0.0001693119,0.00002704982,0.02306293,0.0001784692,0.00001861184,0.00007671241,0.0002134612,0.001684742,0.0008914616,0.0008913749,0.972737,0.0000489865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007132222,0.00003280797,0.0001065834,0.00006987929,0.00002541054,0.00001595703,0.9972644,0.0003005624,0.001471176],"genre_scores_gemma":[0.0008556448,0.00001601382,0.0002272308,0.000023842,0.000004713039,0.00002737313,0.9979414,0.0000321641,0.0008716758],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2355439,"threshold_uncertainty_score":0.4683458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009767342224049116,"score_gpt":0.2186817598844542,"score_spread":0.2089144176604051,"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."}}