{"id":"W6909119107","doi":"10.34943/d9c540ea-ed6c-4abf-99c6-5d953eee904e","title":"Folger Deep Conductivity Temperature Depth Deployed 2011-07-19","year":2011,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Medieval European History and Architecture","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conductivity; Turbidity; Temperature measurement; Thermal conductivity; Instrumentation (computer programming); Productivity; Global Positioning System","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":[0.0007922065,0.002185039,0.001056244,0.002581288,0.0009178188,0.001487698,0.002498922,0.001828186,0.01205337],"category_scores_gemma":[0.002711271,0.0004690473,0.0008075478,0.003938605,0.0004950433,0.001248602,0.001411702,0.00158037,0.03061638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002078446,"about_ca_system_score_gemma":0.002555079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1229164,"about_ca_topic_score_gemma":0.2712267,"domain_scores_codex":[0.9990537,0.00009949099,0.00007666498,0.0002663365,0.000313978,0.000189889],"domain_scores_gemma":[0.9988839,0.0001152701,0.00007717178,0.0003102898,0.0004684981,0.0001449262],"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":[0.00007854703,0.00003922027,0.002222277,0.0002352505,0.00003176339,0.00006125848,0.00003798558,0.0007906813,0.000237808,0.0003333884,0.9926711,0.003260766],"study_design_scores_gemma":[0.0002197188,0.00004615287,0.02337145,0.0002629266,0.00003974079,0.000177805,0.0003585756,0.002941,0.001250043,0.001026449,0.9702261,0.00008006886],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00120549,0.00009434308,0.0001418948,0.0001149837,0.00005169742,0.00001863233,0.9961738,0.0008827486,0.001316401],"genre_scores_gemma":[0.001042794,0.00002975756,0.000261121,0.00002770337,0.00000534047,0.00002506397,0.9979012,0.00003949484,0.0006674827],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1229164,"threshold_uncertainty_score":0.2444018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0197046105303644,"score_gpt":0.1888456369566525,"score_spread":0.1691410264262881,"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."}}