{"id":"W7025520876","doi":"","title":"Weak and Strong Laws of Large Numbers of Negatively Associated Random Variables","year":2017,"lang":"en","type":"dissertation","venue":"oURspace (University of Regina)","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Law of large numbers; Random variable; Degree (music); Calculus (dental); Variable (mathematics); Variables; Stochastic process; Term (time)","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":[0.01331723,0.00114876,0.001827972,0.002702866,0.0009705884,0.005950508,0.001932811,0.001815119,0.009498885],"category_scores_gemma":[0.1278131,0.0008378241,0.001818973,0.001761348,0.009328243,0.007818936,0.004055066,0.006226433,0.001168906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0016544,"about_ca_system_score_gemma":0.001172848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00113935,"about_ca_topic_score_gemma":0.0008497342,"domain_scores_codex":[0.9939225,0.003126661,0.0003371325,0.0009418307,0.001192749,0.0004791309],"domain_scores_gemma":[0.8159654,0.1620717,0.006742199,0.005214985,0.00700811,0.002997583],"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":[0.0000935016,0.00004231168,0.001961475,0.0002047374,0.00007043924,0.0001502594,0.000417028,0.007879262,0.0005283942,0.9765879,0.003862177,0.008202517],"study_design_scores_gemma":[0.00006202261,0.00006536028,0.002559465,0.000147982,0.00004534854,0.0001609155,0.0001048126,0.04507134,0.0002739498,0.948211,0.003257913,0.000039939],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1986879,0.01069556,0.6608161,0.02045454,0.001323726,0.000294983,0.001266642,0.000271766,0.1061887],"genre_scores_gemma":[0.8862271,0.01013145,0.05399963,0.002402889,0.003243834,0.001180578,0.0008812457,0.0003165228,0.04161682],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01331723,"threshold_uncertainty_score":0.07042909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0178770308318877,"score_gpt":0.2646623542958789,"score_spread":0.2467853234639912,"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."}}