{"id":"W7069072672","doi":"","title":"Dayton, Ohio","year":2009,"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":"Woodland; Greenhouse; Context (archaeology); Work (physics)","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":[0.0001056908,0.0003432193,0.0002872286,0.0003306036,0.0001197994,0.000424527,0.0009628037,0.0002592488,0.0001790594],"category_scores_gemma":[0.000004723651,0.0003244227,0.00007979201,0.0005746397,0.00005251341,0.01069106,0.0004019217,0.000335071,0.00007938458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001205037,"about_ca_system_score_gemma":0.00004758912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.468886e-8,"about_ca_topic_score_gemma":8.799734e-8,"domain_scores_codex":[0.9984572,0.00003185971,0.0004518231,0.0003155562,0.0002879433,0.0004556259],"domain_scores_gemma":[0.9989962,0.00003862478,0.0002818266,0.0004966828,0.00001575444,0.0001709088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002117551,0.000007230074,0.000002996988,0.00002792696,0.00000834342,0.000002357953,0.00003629537,0.001806287,1.887058e-7,0.6658862,0.2853447,0.04687539],"study_design_scores_gemma":[0.000179015,0.00004301007,0.00006134837,0.0002814445,0.000002997332,0.00002641587,4.974128e-7,0.03162399,0.00001016591,0.00857676,0.958837,0.0003573425],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[1.923127e-7,0.0003481093,0.4048738,0.0002928,0.000463244,0.0001533767,0.00001074611,0.0009649758,0.5928928],"genre_scores_gemma":[0.002682472,0.01305972,0.7746204,0.03169937,0.00373652,0.0001020368,0.001353647,0.0003330546,0.1724128],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6734924,"threshold_uncertainty_score":0.9999208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007537938667876821,"score_gpt":0.2125246733700708,"score_spread":0.204986734702194,"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."}}