{"id":"W7100653991","doi":"","title":"Universityof Toronto","year":2009,"lang":"en","type":"article","venue":"","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Upper and lower bounds; Context (archaeology); Vulnerability (computing); 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":[0.0006119468,0.001471272,0.0011274,0.001377725,0.003928286,0.0064579,0.001176365,0.002147145,0.5999477],"category_scores_gemma":[0.003221827,0.0007059917,0.0005633429,0.002129718,0.001442002,0.002249755,0.002449772,0.001678098,0.2470109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00847326,"about_ca_system_score_gemma":0.0101624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1431451,"about_ca_topic_score_gemma":0.3108967,"domain_scores_codex":[0.9985529,0.0001345626,0.00007364832,0.0004392744,0.0005664334,0.0002331774],"domain_scores_gemma":[0.9969822,0.0004920565,0.0002051842,0.0002994141,0.001201659,0.0008195798],"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":[0.0003853986,0.0000879725,0.002903145,0.001232478,0.00003438993,0.001317502,0.001212376,0.0008661663,0.001623426,0.05731873,0.7455543,0.1874641],"study_design_scores_gemma":[0.00002549867,0.00002631431,0.001480032,0.0002791348,0.00001364375,0.0001798156,0.0003582892,0.0002651052,0.0004813748,0.004322428,0.992539,0.00002940996],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005421733,0.01761886,0.00372582,0.01753849,0.003247749,0.0001145635,0.0120332,0.001720688,0.9385789],"genre_scores_gemma":[0.0176481,0.009175978,0.002100909,0.0007062972,0.0002142961,0.00004788373,0.002998577,0.0003371884,0.9667709],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4000523,"threshold_uncertainty_score":0.570626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133875460112934,"score_gpt":0.2329284646009872,"score_spread":0.2215897099998579,"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."}}