{"id":"W7059582928","doi":"","title":"Toronto, Ohio","year":2009,"lang":"en","type":"other","venue":"OhioLink ETD Center (Ohio Library and Information Network)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Windsor; Ridiculous; George (robot); Post office; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002717753,0.001572423,0.0006656148,0.001027754,0.003801827,0.005081977,0.0006687536,0.001628271,0.8214527],"category_scores_gemma":[0.0007541613,0.0005043646,0.0004712891,0.002378546,0.000658586,0.001599788,0.001503015,0.001473997,0.5285054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003781026,"about_ca_system_score_gemma":0.005029268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.108284,"about_ca_topic_score_gemma":0.3678487,"domain_scores_codex":[0.9995426,0.00002945386,0.00001969541,0.0001438445,0.0001810521,0.00008352094],"domain_scores_gemma":[0.9992002,0.0000702312,0.00004229798,0.0000807564,0.0003386928,0.0002679151],"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":[0.000061296,0.00003285147,0.0004910588,0.0001410926,0.000006847862,0.0003437104,0.0001756672,0.0001511493,0.0004567154,0.00726834,0.9215515,0.06931969],"study_design_scores_gemma":[0.000007438208,0.000006902002,0.0005844659,0.0000501473,0.000002479019,0.00004697606,0.0001404187,0.00004197163,0.00009637051,0.0003050697,0.9987128,0.000005069864],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006393425,0.002594673,0.0004016247,0.001681619,0.001286837,0.00003356568,0.006494559,0.0003990834,0.9864687],"genre_scores_gemma":[0.001732646,0.001386242,0.0002744648,0.0002363157,0.0000693406,0.00001437558,0.001276152,0.0001574777,0.994853],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1785473,"threshold_uncertainty_score":0.2546761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004651171870315747,"score_gpt":0.1815442413227134,"score_spread":0.1768930694523977,"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."}}