{"id":"W7055274621","doi":"","title":"Calling cards of Peter H.L. Bradt","year":2017,"lang":"en","type":"other","venue":"Brock University Digital Repository (Brock University)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"ATM card; George (robot); Credit card; Card reader; Counterfeit; Postal service","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":[0.0007289241,0.000763551,0.0003963565,0.001191228,0.004123334,0.003800555,0.0006683628,0.001383011,0.6032688],"category_scores_gemma":[0.002598965,0.0004946419,0.0002542267,0.0007974288,0.0006178934,0.002642229,0.002539745,0.002350232,0.3879683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001518418,"about_ca_system_score_gemma":0.002488274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01659557,"about_ca_topic_score_gemma":0.04523392,"domain_scores_codex":[0.9991929,0.0000821213,0.000025977,0.0001245761,0.0004329483,0.0001414938],"domain_scores_gemma":[0.9985124,0.0001097036,0.00005044448,0.00009747735,0.0007059829,0.00052392],"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":[0.000006680492,0.000005069398,0.00003584296,0.00001091269,2.021147e-7,0.00002345644,0.00006769364,0.000007030944,0.00007652654,0.001414843,0.9852563,0.01309555],"study_design_scores_gemma":[0.000001296559,0.000003601679,0.0001488397,0.00001309532,3.206155e-7,0.00004064801,0.00009026862,0.00001091638,0.00004942578,0.0001128049,0.9995259,0.000002886065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006831478,0.001691993,0.001053729,0.009602227,0.005782176,0.0001169514,0.0008120755,0.0009042085,0.9793535],"genre_scores_gemma":[0.001318926,0.0005186219,0.0002549911,0.0009901312,0.0002744864,0.00002440191,0.0001847217,0.0001665867,0.9962673],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6032688,"threshold_uncertainty_score":0.5658889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009023817889793522,"score_gpt":0.1732456777475901,"score_spread":0.1642218598577966,"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."}}