{"id":"W7031491378","doi":"","title":"Toledo, Ohio","year":2009,"lang":"en","type":"other","venue":"OhioLink ETD Center (Ohio Library and Information Network)","topic":"American Environmental and Regional History","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spring (device); Boulevard; Evergreen; Front (military)","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":["insufficient_payload"],"category_scores_codex":[0.0003745354,0.00182419,0.0007084092,0.001394811,0.003550862,0.005157022,0.001263188,0.001417152,0.8346324],"category_scores_gemma":[0.00108802,0.0006418515,0.0005876284,0.001987995,0.0006995499,0.002323512,0.002409201,0.001935261,0.5640539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001309304,"about_ca_system_score_gemma":0.002063723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01378076,"about_ca_topic_score_gemma":0.03842485,"domain_scores_codex":[0.9993646,0.00004011031,0.00002805002,0.0002386806,0.0002411112,0.00008753497],"domain_scores_gemma":[0.9994655,0.00008861632,0.00003710008,0.00008210283,0.0001827224,0.0001440002],"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":[0.0002273271,0.0002738082,0.00222998,0.0003247295,0.00002127201,0.0005689166,0.0003216998,0.0002591042,0.001220513,0.009156054,0.7433917,0.2420049],"study_design_scores_gemma":[0.00002722195,0.00002211897,0.00178058,0.0001313742,0.000005865154,0.00009462963,0.0002122092,0.00008946563,0.0001672964,0.0006568579,0.9968039,0.000008612933],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001150677,0.001293508,0.0004235675,0.0006187054,0.001016626,0.00005993517,0.004777967,0.0003987244,0.9902602],"genre_scores_gemma":[0.003209687,0.001020626,0.0004135712,0.0001750874,0.00008959005,0.00004029665,0.002108927,0.0001851554,0.992757],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1653676,"threshold_uncertainty_score":0.2358767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004803733116969066,"score_gpt":0.1708492367795018,"score_spread":0.1660455036625327,"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."}}