{"id":"W6887509271","doi":"10.1594/pangaea.962425","title":"pH values from ROV survey ARTofMELT2023/1_23-9 on 2023-06-06, survey 4","year":2023,"lang":"en","type":"dataset","venue":"Publishing Network for Geoscientific and Environmental Data (PANGAEA) (Alfred Wegener Institute for Polar and Marine Research)","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Remotely operated underwater vehicle; Calibration; Voltage; Pressure sensor; Data acquisition","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004093955,0.001096878,0.0006317379,0.00206213,0.000404382,0.001074665,0.001009835,0.0008651232,0.02028956],"category_scores_gemma":[0.001909365,0.0003201758,0.0005047069,0.00352556,0.0002098147,0.0005268847,0.0007785099,0.0008636716,0.03054556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009481831,"about_ca_system_score_gemma":0.001339205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05133813,"about_ca_topic_score_gemma":0.09179346,"domain_scores_codex":[0.9996252,0.00003381231,0.00003474595,0.0001130263,0.0001182559,0.00007489717],"domain_scores_gemma":[0.9992385,0.0001001196,0.0001257053,0.000164543,0.0002915734,0.00007961563],"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":[0.00009695236,0.00003289845,0.006283373,0.0003244852,0.00003140464,0.00004314438,0.00003539205,0.0005176516,0.000244939,0.0003920206,0.9888487,0.003149103],"study_design_scores_gemma":[0.0001615559,0.0000213102,0.04626381,0.000181985,0.00002360048,0.0000694563,0.0001612199,0.0007873129,0.0006701553,0.0006328273,0.9509963,0.00003042846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008198181,0.00003781927,0.0000444691,0.00003371358,0.00001852011,0.000007674889,0.9978706,0.0001610032,0.001006482],"genre_scores_gemma":[0.001147465,0.00003090207,0.0001723739,0.00001636767,0.000005885486,0.00002751212,0.9975569,0.00002957627,0.001012885],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05133813,"threshold_uncertainty_score":0.1020786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07520733246868624,"score_gpt":0.2792718527048504,"score_spread":0.2040645202361642,"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."}}