{"id":"W3014592746","doi":"","title":"dSED: A database tool for modeling sediment early diagenesis","year":2003,"lang":"en","type":"article","venue":"","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Diagenesis; Database; Computer science; Set (abstract data type); Completeness (order theory); Data mining; Geology; Mineralogy; Mathematics; Programming language","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":[0.001497559,0.001940785,0.001766737,0.002859824,0.0008938454,0.002937046,0.004726462,0.001597701,0.021991],"category_scores_gemma":[0.00331156,0.001592227,0.001890124,0.002662495,0.0004806524,0.00365352,0.001879601,0.001652685,0.008613679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001328685,"about_ca_system_score_gemma":0.002001547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007544046,"about_ca_topic_score_gemma":0.009007752,"domain_scores_codex":[0.9994302,0.0000719677,0.0001481517,0.0001190844,0.0001938531,0.00003678258],"domain_scores_gemma":[0.9987816,0.0004573795,0.0001014336,0.0002612131,0.0002956251,0.0001026952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009562128,0.0003338677,0.008617424,0.004879695,0.0005687265,0.001264094,0.0007603336,0.2564768,0.01539469,0.1075315,0.3102333,0.2929835],"study_design_scores_gemma":[0.0003465354,0.0001022771,0.00101332,0.0002435926,0.0001622038,0.000536353,0.0001461169,0.3229231,0.02052548,0.03970005,0.6141281,0.0001730199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.006205082,0.001164785,0.775655,0.0002892988,0.0001971304,0.0003091129,0.09603456,0.1108021,0.009342925],"genre_scores_gemma":[0.07346566,0.004102593,0.6479146,0.0003576264,0.0001109701,0.001905304,0.244445,0.01331767,0.01438052],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.021991,"threshold_uncertainty_score":0.07356715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02317447119098541,"score_gpt":0.2347926500936522,"score_spread":0.2116181789026668,"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."}}