{"id":"W7120063043","doi":"10.34943/eebb41c2-4787-427b-8f3f-6d02c97d4c20","title":"Endeavour East Bottom Pressure Recorder Deployed 2020-06-12","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":"Observatory; Instrumentation (computer programming); Software deployment; Ocean bottom; Data logger; 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":[0.0008720908,0.001481026,0.0009650968,0.002229639,0.0009285804,0.001458958,0.002456841,0.001323209,0.02500143],"category_scores_gemma":[0.002737996,0.0004411778,0.0006097933,0.004669613,0.0004298183,0.0009667916,0.001331153,0.001341803,0.04734539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002309457,"about_ca_system_score_gemma":0.00405233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2960812,"about_ca_topic_score_gemma":0.4529543,"domain_scores_codex":[0.9991508,0.0000770273,0.00007023248,0.0002193743,0.0003148235,0.0001677266],"domain_scores_gemma":[0.9984714,0.0001146749,0.00008379282,0.0003003258,0.0008464381,0.0001833163],"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":[0.00005914889,0.00001839715,0.001289957,0.0001342665,0.00001376979,0.00003076632,0.00002062048,0.0003339716,0.0001863841,0.0003504981,0.9953588,0.002203564],"study_design_scores_gemma":[0.00015553,0.00001995045,0.01436823,0.0001754643,0.00001733509,0.00006257684,0.0001516291,0.001317092,0.0006756803,0.0008722658,0.982139,0.00004529657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000321708,0.00002312375,0.00009202568,0.00005469136,0.00001928503,0.00001379349,0.998082,0.0002848769,0.001108506],"genre_scores_gemma":[0.0004883293,0.00001447928,0.0002124274,0.00002045645,0.000003967907,0.00002613247,0.9984508,0.00003340938,0.0007499993],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2960812,"threshold_uncertainty_score":0.5887156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.010409078990118,"score_gpt":0.2137189504485697,"score_spread":0.2033098714584517,"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."}}