{"id":"W6965453562","doi":"10.34943/da8740bd-4894-470b-b5c2-bfc53a5390c4","title":"Patricia Bay Gas Tension Device Deployed 2019-03-10","year":2019,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bay; Hydrostatic pressure; Seawater; Gas pressure; Volume (thermodynamics); Tension (geology); Hydrostatic equilibrium; Underwater","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":[0.0009045299,0.001730133,0.0009015133,0.002485438,0.001054787,0.001566546,0.002752616,0.001078244,0.01714515],"category_scores_gemma":[0.00339917,0.000432922,0.0006115687,0.005207228,0.0004841379,0.001132631,0.001622748,0.001379429,0.03959033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003091543,"about_ca_system_score_gemma":0.00473316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3812433,"about_ca_topic_score_gemma":0.5044572,"domain_scores_codex":[0.998982,0.0001009107,0.00007245104,0.0002582744,0.0003882838,0.0001981222],"domain_scores_gemma":[0.9981905,0.0001351096,0.0000990734,0.0004434796,0.0009360185,0.0001958795],"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":[0.00006303823,0.00001928858,0.001419986,0.000153006,0.00001470414,0.00002919803,0.00002669227,0.0004734461,0.0001668077,0.0004387286,0.9941947,0.003000506],"study_design_scores_gemma":[0.0001121089,0.00002158683,0.01107356,0.0001606257,0.0000161809,0.00006125254,0.0002224686,0.001626562,0.0007273902,0.0008707182,0.98506,0.00004731077],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006182569,0.00005993279,0.000154784,0.00009709646,0.00004015054,0.00002557032,0.9961675,0.0009280838,0.00190868],"genre_scores_gemma":[0.0009354289,0.0000407385,0.0004121663,0.00003420177,0.000006413055,0.00004957457,0.9973547,0.00007516582,0.00109164],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3812433,"threshold_uncertainty_score":0.7580484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.010185400400153,"score_gpt":0.2193216281329698,"score_spread":0.2091362277328168,"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."}}