{"id":"W4400644530","doi":"10.1007/978-3-031-52715-9_5","title":"On Support Vector Regression to Predict Poisson’s Ratio and Young’s Modulus of Reservoir Rock","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Poisson regression; Poisson distribution; Modulus; Poisson's ratio; Geology; Regression; Statistics; Mathematics; Geotechnical engineering; Sociology; Geometry; Demography","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":[],"consensus_categories":[],"category_scores_codex":[0.00009313304,0.0003070182,0.000336916,0.0002394807,0.00003557342,0.00004905017,0.0001162902,0.0002559808,0.0005207099],"category_scores_gemma":[0.00002014845,0.000240641,0.00006388122,0.00003635781,0.00001056926,0.00005953167,0.00007605385,0.000342429,0.000203105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006429364,"about_ca_system_score_gemma":0.00002261107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001592781,"about_ca_topic_score_gemma":0.00002533434,"domain_scores_codex":[0.9989282,0.000002846283,0.0003037674,0.0003130458,0.0002715029,0.0001806188],"domain_scores_gemma":[0.9995183,0.00001792836,0.00003914412,0.0002547236,0.00004057543,0.0001293435],"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":[0.0001066677,0.00001595148,0.00003552295,0.003319927,0.0002513189,0.0001129115,0.0009367819,0.01217859,0.004460093,0.07485799,0.9015588,0.002165469],"study_design_scores_gemma":[0.001994749,0.003083736,0.0004487,0.02915087,0.000740105,0.0002372038,0.0001554641,0.2641301,0.02323752,0.07275326,0.5988869,0.005181347],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00490816,0.0006972747,0.0004422485,0.0001728183,0.00146689,0.0002408987,0.00008642289,0.0004157847,0.9915695],"genre_scores_gemma":[0.2115083,0.00006340601,0.0001235737,0.00002172631,0.0001873851,0.000007013605,0.00003380147,0.00008395036,0.7879708],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3026719,"threshold_uncertainty_score":0.9813057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01418409066426799,"score_gpt":0.2308588452872234,"score_spread":0.2166747546229554,"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."}}