{"id":"W6890165158","doi":"10.34943/cbfcb716-1582-4a44-93a6-3ad06bb4c676","title":"Barkley Upper Slope Conductivity Temperature Depth Deployed 2018-07-01","year":2018,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conductivity; Temperature measurement; Pressure sensor; Profiling (computer programming); Pressure measurement; Measuring instrument","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":[0.0006130814,0.001776176,0.000882547,0.002550294,0.0009917174,0.001576002,0.002109428,0.001118816,0.01394779],"category_scores_gemma":[0.003315007,0.0004076636,0.0005001313,0.004567116,0.0004152109,0.001184807,0.001313013,0.001340912,0.02905196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002678494,"about_ca_system_score_gemma":0.004300994,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3521407,"about_ca_topic_score_gemma":0.5535114,"domain_scores_codex":[0.9991668,0.00007196583,0.00005918309,0.0001953842,0.0003363812,0.000170254],"domain_scores_gemma":[0.9983033,0.0001237744,0.00009577359,0.0003162571,0.0009723594,0.0001884834],"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":[0.00004794228,0.00001762857,0.001878765,0.0001402373,0.00001455004,0.00003760561,0.00003849799,0.0004686147,0.000128808,0.0003979182,0.9942887,0.002540686],"study_design_scores_gemma":[0.00008545798,0.00001529253,0.01088817,0.0002022429,0.00001530004,0.00005457431,0.0002816,0.001470338,0.0004885917,0.0008603453,0.9856043,0.00003380227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008312205,0.00008479023,0.0001516072,0.0001249718,0.0000578656,0.00001652089,0.9961439,0.0006875955,0.001901431],"genre_scores_gemma":[0.001147445,0.00004845459,0.0003067197,0.00002591357,0.000006713292,0.00002865306,0.997277,0.00005599906,0.001103164],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6478593,"threshold_uncertainty_score":0.700182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01034478984444782,"score_gpt":0.2230174097480413,"score_spread":0.2126726199035935,"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."}}