{"id":"W6976706890","doi":"10.60692/3drpt-6xm29","title":"Timers and Such v0.1","year":2020,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Engineering and Materials Science Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Timer; Set (abstract data type); Key (lock); Terminal (telecommunication)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001323165,0.00380262,0.001768653,0.002496991,0.001227012,0.003110271,0.003578639,0.003065144,0.06771465],"category_scores_gemma":[0.005834977,0.00146182,0.002167047,0.003188201,0.0006247605,0.003350561,0.002968922,0.003053266,0.1189903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008950773,"about_ca_system_score_gemma":0.001237508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0116883,"about_ca_topic_score_gemma":0.02749618,"domain_scores_codex":[0.9983574,0.0002329535,0.00019444,0.0005445668,0.0004042082,0.000266464],"domain_scores_gemma":[0.9973323,0.0004761716,0.0001780696,0.001188273,0.0004822247,0.0003429351],"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":[0.0003992062,0.00009253584,0.0009894125,0.0007461124,0.00004697272,0.00005646216,0.0000963337,0.0004948346,0.0009643771,0.0007544662,0.9867531,0.008606317],"study_design_scores_gemma":[0.0003803328,0.0001682728,0.009557318,0.0003260318,0.00005388698,0.0002918793,0.0002431682,0.004183793,0.004102621,0.002987417,0.977537,0.0001681887],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.001213574,0.0002040399,0.001493039,0.0001422037,0.0003763327,0.00009853947,0.9646147,0.02821134,0.00364623],"genre_scores_gemma":[0.002525439,0.00007934219,0.002100843,0.0001300851,0.00006564269,0.0001665019,0.991717,0.001650303,0.001564856],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.06771465,"threshold_uncertainty_score":0.2265281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01925288640486689,"score_gpt":0.1607770539046962,"score_spread":0.1415241674998294,"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."}}