{"id":"W2740891638","doi":"10.1145/3129173.3129175","title":"2017 LICS test-of-time award","year":2017,"lang":"en","type":"article","venue":"ACM SIGLOG News","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Honor; Test (biology); Library science; History; Computer science; Operations research; Engineering; Biology","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":[0.01902067,0.001400782,0.002529662,0.003879192,0.003187346,0.01288846,0.003507043,0.005393759,0.298666],"category_scores_gemma":[0.04451685,0.000605744,0.001752805,0.002638452,0.002393801,0.006785583,0.008195821,0.00712498,0.2378228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008461295,"about_ca_system_score_gemma":0.01586151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004218862,"about_ca_topic_score_gemma":0.005399313,"domain_scores_codex":[0.9811065,0.00248523,0.0008192569,0.0013263,0.01066295,0.003599663],"domain_scores_gemma":[0.9008486,0.006679882,0.00181871,0.005057862,0.04732047,0.03827454],"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":[0.0001930824,0.0001136919,0.0005475572,0.00009395299,0.00001898899,0.0001877819,0.00003142134,0.0003646601,0.0003495892,0.0130974,0.9420126,0.04298917],"study_design_scores_gemma":[0.0000977218,0.000206065,0.001134848,0.0001256679,0.00001957928,0.000232158,0.000130442,0.002055603,0.001078968,0.00796464,0.9869022,0.00005201898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007921342,0.004564512,0.02779505,0.1285182,0.1697948,0.0008205131,0.01148721,0.01465895,0.6344394],"genre_scores_gemma":[0.04745517,0.003359782,0.00744689,0.01755692,0.01917902,0.0005590915,0.01749366,0.005409725,0.8815396],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.298666,"threshold_uncertainty_score":0.9991374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03960364725736493,"score_gpt":0.2948623259756701,"score_spread":0.2552586787183052,"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."}}