{"id":"W7030501146","doi":"","title":"Norwood Park (Canada 175390)","year":2015,"lang":"en","type":"other","venue":"OhioLink ETD Center (Ohio Library and Information Network)","topic":"Advanced Computational Techniques in Science and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shipyard; Corporation; Government (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009870147,0.0002898104,0.0002531633,0.0001681298,0.00008695969,0.000259137,0.0008328271,0.000168512,0.0001259596],"category_scores_gemma":[0.000006239369,0.0002721262,0.00003864769,0.0005046407,0.00003828129,0.00700166,0.0004675319,0.0002726395,0.00002789664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002580347,"about_ca_system_score_gemma":0.000280407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007129745,"about_ca_topic_score_gemma":0.00006300372,"domain_scores_codex":[0.998564,0.00002930067,0.0003837911,0.000253326,0.0003701859,0.0003993995],"domain_scores_gemma":[0.9990682,0.00003716105,0.0002396206,0.0004120779,0.00002470444,0.0002182627],"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":[0.000001890248,0.000003773199,0.000005870319,0.00003010745,0.000009782241,0.000002816436,0.0000293105,0.0026266,4.010273e-8,0.3021548,0.6866335,0.008501459],"study_design_scores_gemma":[0.0001712253,0.00002262896,0.00002013834,0.0001764157,0.000002494465,0.00001938854,0.000001119855,0.02737406,0.00000352171,0.002736032,0.9691637,0.000309348],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[4.354152e-7,0.0004043608,0.2234691,0.0003120601,0.0009555299,0.0001580609,0.00004546626,0.0005990255,0.774056],"genre_scores_gemma":[0.007167413,0.007584312,0.6345799,0.04079172,0.005890726,0.0001961013,0.004129,0.0005784922,0.2990823],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4749736,"threshold_uncertainty_score":0.9999731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00749971696893867,"score_gpt":0.1996350979429987,"score_spread":0.19213538097406,"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."}}