{"id":"W7062377480","doi":"","title":"Trespass Prevention Research Study – Worcester, MA [Research Results]","year":2021,"lang":"en","type":"other","venue":"Rosa P: A digital library for transportation research (United States Department of Transportation)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Transport Canada; U.S. Department of Transportation","keywords":"Trespass; Culpability","routes":{"ca_aff":false,"ca_fund":true,"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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002892244,0.0007083712,0.0009686245,0.004555349,0.0006362657,0.000930695,0.001301964,0.0003437049,0.0527534],"category_scores_gemma":[0.00007113108,0.0007371245,0.000553077,0.006262024,0.0007620123,0.0004974658,0.00006483489,0.001733199,0.00008702701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004992613,"about_ca_system_score_gemma":0.001117161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006742738,"about_ca_topic_score_gemma":0.002491299,"domain_scores_codex":[0.9878504,0.001277419,0.001960092,0.001750132,0.005282562,0.001879366],"domain_scores_gemma":[0.9931815,0.002378422,0.0004950332,0.001256183,0.002060179,0.0006286961],"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":[0.001887679,0.006341229,0.005231531,0.001335816,0.001006239,0.0001294153,0.001829042,0.0000532043,0.00001449836,0.005850388,0.9552599,0.02106104],"study_design_scores_gemma":[0.004785205,0.002584513,0.003369833,0.0008830234,0.00008806973,1.740741e-7,0.01297553,0.0001688611,0.0003557328,0.002095175,0.9720978,0.0005960658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.08977369,0.0008881477,0.001160562,0.002635362,0.0003345611,0.02175927,0.7793387,0.0004550886,0.1036546],"genre_scores_gemma":[0.06259897,0.0002098829,0.00058793,0.000009968224,0.0002372115,0.003114585,0.5678157,0.0004833026,0.3649425],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2612879,"threshold_uncertainty_score":0.999508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06396909038857773,"score_gpt":0.360471709923525,"score_spread":0.2965026195349473,"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."}}