{"id":"W6908407246","doi":"10.26023/3tz2-tmqe-8v0n","title":"C3O - Sir Wilfrid Laurier CTD Data 2012 for DBO3. Version 1.0","year":2016,"lang":"en","type":"dataset","venue":"Earth Observing Laboratory","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"CTD; Profiling (computer programming); Bathythermograph; Beam (structure); High resolution","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00247525,0.001265465,0.001225944,0.0005166252,0.0005945514,0.0003129765,0.005503842,0.001232583,0.004038461],"category_scores_gemma":[0.002122368,0.001160211,0.0002063014,0.001002724,0.0003023481,0.002701595,0.003138415,0.001057314,0.03190415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002436513,"about_ca_system_score_gemma":0.001828196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001316581,"about_ca_topic_score_gemma":0.001445918,"domain_scores_codex":[0.9931221,0.0005566466,0.0009885874,0.002355464,0.001357374,0.001619849],"domain_scores_gemma":[0.9866468,0.0007603503,0.001085223,0.009850043,0.001005762,0.0006517883],"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":[0.0002273376,0.0001536994,0.00008688099,0.0006214584,0.0002683733,0.00006076549,0.00001511379,0.000002719658,0.001316978,0.000009660907,0.9970705,0.0001665097],"study_design_scores_gemma":[0.001848227,0.0001224758,0.0004351479,0.0009530773,0.0004536535,0.00000350915,0.00002223006,0.00002575154,0.0003084439,0.00002745299,0.9943111,0.001488956],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003241866,0.005541593,0.00002243059,0.0002651549,0.004109231,0.001357733,0.9877997,0.0005303638,0.00004959619],"genre_scores_gemma":[0.000008115474,0.0004182965,0.00135712,0.001046736,0.003302393,0.0001204585,0.9916641,0.0005146973,0.001568118],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02786569,"threshold_uncertainty_score":0.9998769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04474649525098704,"score_gpt":0.2866591851178528,"score_spread":0.2419126898668658,"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."}}