{"id":"W7165839929","doi":"10.53437/j4n1gz59","title":"Monotonicity restored: more never means purer","year":2019,"lang":"","type":"article","venue":"","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Concordia University","funders":"","keywords":"Monotonic function; Measure (data warehouse); Constraint (computer-aided design); Range (aeronautics); Ring (chemistry)","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":[0.005379498,0.0009007916,0.001331268,0.001654326,0.004408294,0.005860105,0.001693091,0.003568942,0.0277447],"category_scores_gemma":[0.01490097,0.0008129688,0.001018473,0.001267046,0.01446366,0.02696064,0.005237892,0.006239538,0.003296537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002413069,"about_ca_system_score_gemma":0.0009918512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001558665,"about_ca_topic_score_gemma":0.001601413,"domain_scores_codex":[0.9934156,0.002388286,0.0003491747,0.002178192,0.001146796,0.0005218211],"domain_scores_gemma":[0.9929142,0.003125003,0.0005162996,0.001826622,0.001359078,0.0002588177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008163298,0.00001643767,0.0003117302,0.0001106847,0.00002398813,0.0001063144,0.001988014,0.00006154991,0.001288773,0.9852887,0.002778983,0.007943217],"study_design_scores_gemma":[0.00003263459,0.00007281126,0.001377364,0.0001353767,0.00006069266,0.0007798568,0.002527224,0.0006804757,0.002484492,0.9136727,0.07811242,0.000063944],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09313151,0.002446651,0.148631,0.02842873,0.00164484,0.0001790241,0.001162361,0.000886108,0.7234898],"genre_scores_gemma":[0.9475743,0.0005528672,0.02649423,0.00561902,0.0004608139,0.0001807011,0.0003223822,0.0007780989,0.01801758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0277447,"threshold_uncertainty_score":0.09281528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01545954550353201,"score_gpt":0.2497631386118488,"score_spread":0.2343035931083168,"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."}}