{"id":"W7100476103","doi":"","title":"Canada (2013)" COMPRESSIVE GAUSSIAN MIXTURE ESTIMATION","year":2013,"lang":"en","type":"article","venue":"","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sketch; Histogram; Mixture model; Projection (relational algebra); Compressed sensing; Set (abstract data type); Centroid; Representation (politics); Data set","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":[],"consensus_categories":[],"category_scores_codex":[0.001177884,0.001148012,0.0008365167,0.00171618,0.00227498,0.004827554,0.001678171,0.002525523,0.1972997],"category_scores_gemma":[0.002228278,0.0005705074,0.00060561,0.00315086,0.001462058,0.001876013,0.001910739,0.001488974,0.06367777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008505193,"about_ca_system_score_gemma":0.01038427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3895702,"about_ca_topic_score_gemma":0.5280874,"domain_scores_codex":[0.9990517,0.00006699611,0.00003533118,0.0001844667,0.0005479205,0.0001134859],"domain_scores_gemma":[0.9987298,0.0001522378,0.00004378081,0.0002003808,0.0007059729,0.0001678292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001861987,0.00004643286,0.0009540564,0.0002088517,0.00002911302,0.0002374364,0.0001104634,0.006831618,0.003206436,0.03110453,0.4837786,0.4733063],"study_design_scores_gemma":[0.00002157087,0.00002403593,0.001204979,0.0001119376,0.000008281449,0.0001058463,0.0001407212,0.01596365,0.001982723,0.009653557,0.9707381,0.00004451943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.006324959,0.02019043,0.1832002,0.02432841,0.01071734,0.0004321047,0.02425427,0.006662079,0.7238902],"genre_scores_gemma":[0.03243206,0.0106426,0.09027111,0.001976952,0.0008607869,0.000129152,0.009855672,0.001211009,0.8526207],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3895702,"threshold_uncertainty_score":0.7746053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005871955904163193,"score_gpt":0.21664568176879,"score_spread":0.2107737258646268,"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."}}