{"id":"W7003797115","doi":"","title":"Dayton, Ohio","year":2009,"lang":"en","type":"other","venue":"OhioLink ETD Center (Ohio Library and Information Network)","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Woodland; Context (archaeology); Greenhouse; Vegetation (pathology); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004086814,0.001476185,0.0007548918,0.0009139525,0.003582961,0.00499951,0.001174194,0.001788556,0.8772522],"category_scores_gemma":[0.001148906,0.0006794044,0.0004747828,0.001535837,0.0006783915,0.00228066,0.002480355,0.002224973,0.6321406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00116331,"about_ca_system_score_gemma":0.001963688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007432582,"about_ca_topic_score_gemma":0.02895671,"domain_scores_codex":[0.9992955,0.00004522504,0.00002623928,0.0003100516,0.0002454711,0.00007748963],"domain_scores_gemma":[0.9992311,0.0001152188,0.00004656366,0.00010518,0.0002322555,0.0002696072],"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":[0.000179803,0.0002558457,0.001155722,0.0001804357,0.00001460668,0.0003944424,0.0002237794,0.0001508997,0.001197061,0.007066637,0.8238024,0.1653785],"study_design_scores_gemma":[0.00001960859,0.00002051671,0.0009881881,0.0000698354,0.000003486884,0.00006609738,0.0001212709,0.00005081486,0.0001437065,0.0004732104,0.9980362,0.000007091021],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001025198,0.001301709,0.0003629447,0.0009399796,0.001080187,0.00004535678,0.003604142,0.0004355012,0.9912049],"genre_scores_gemma":[0.002542167,0.0007987782,0.0003141921,0.0002690258,0.00008030552,0.00003101089,0.001254446,0.0001823785,0.9945276],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8772522,"threshold_uncertainty_score":0.1750849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007198633563563447,"score_gpt":0.1790328766774496,"score_spread":0.1718342431138861,"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."}}