{"id":"W7065016488","doi":"","title":"Development of Enhanced Neural Decision Tree Model and Application of Data Mining Techniques for Modeling of Petroleum Datasets","year":2014,"lang":"en","type":"dissertation","venue":"oURspace (University of Regina)","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Regina","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Diafiltration; Liquation; Triacetin; Emperipolesis; Demotion","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001550687,0.0004541005,0.0007562094,0.0007629312,0.0003300832,0.001014425,0.001234398,0.0008554388,0.001975173],"category_scores_gemma":[0.004339979,0.0003994131,0.0009737835,0.000990834,0.0001402336,0.001375746,0.0006627521,0.001448576,0.0007858733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006453186,"about_ca_system_score_gemma":0.001277738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01389789,"about_ca_topic_score_gemma":0.01355977,"domain_scores_codex":[0.9996917,0.00009205305,0.00003990052,0.00007679725,0.00007053202,0.0000289576],"domain_scores_gemma":[0.9985561,0.0007961284,0.00005759446,0.00008847508,0.0004633902,0.0000383033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001128572,0.0001867524,0.003253423,0.0001106019,0.0001150973,0.0001130295,0.00007643798,0.8000022,0.002999122,0.00551669,0.002804211,0.1847097],"study_design_scores_gemma":[0.000001735761,0.000006455902,0.0001031119,0.000003991281,0.000005224207,0.000006005408,0.000002804817,0.9986582,0.0003296632,0.0006821905,0.0001989593,0.000001636388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03762721,0.0004347822,0.9585617,0.0003436409,0.00005973543,0.0001051875,0.000541774,0.0009024478,0.001423605],"genre_scores_gemma":[0.4027895,0.0007262486,0.590816,0.0001438872,0.00007647053,0.0003642768,0.001798244,0.0001384659,0.003146854],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01389789,"threshold_uncertainty_score":0.02763402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02334303252673629,"score_gpt":0.2653385793917308,"score_spread":0.2419955468649946,"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."}}