{"id":"W4389455424","doi":"10.1155/2023/5532174","title":"Applications of Quantum Probability Amplitude in Decision Support Systems","year":2023,"lang":"en","type":"article","venue":"Applied Computational Intelligence and Soft Computing","topic":"Quantum Mechanics and Applications","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Simon Fraser University","keywords":"Computer science; Complement (music); Probabilistic logic; Bayesian network; Quantum; Probability amplitude; Function (biology); Bayesian probability; Theoretical computer science; Artificial intelligence; Algorithm; Quantum process; Quantum dynamics; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004896033,0.0001329977,0.0002292724,0.0001533292,0.000147179,0.00004846959,0.0001894678,0.00003818921,0.00002022507],"category_scores_gemma":[0.000006408255,0.0001378269,0.00004544977,0.0007312205,0.00006415995,0.0000425617,0.0001280727,0.0001304479,0.00006165969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001630079,"about_ca_system_score_gemma":0.00006633672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008701703,"about_ca_topic_score_gemma":0.000001216045,"domain_scores_codex":[0.9986163,0.00001779176,0.0005779151,0.000356233,0.0002113439,0.0002204173],"domain_scores_gemma":[0.9988404,0.0006415729,0.0001672379,0.0001770329,0.0001112545,0.00006250272],"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":[0.000004039844,0.00007104229,0.001914432,0.00002522501,0.000009674493,1.585672e-7,0.0002148066,0.152904,0.00003152556,0.7644905,0.00002223197,0.08031239],"study_design_scores_gemma":[0.0000588669,0.00001031395,0.001354405,0.00001841281,0.000003569807,5.295562e-7,0.0004734498,0.4521575,0.00004550828,0.5455303,0.0002602027,0.00008694632],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1388899,0.00001722495,0.8600385,0.00003058244,0.00003927046,0.000495615,0.00001928822,0.00004943198,0.0004201427],"genre_scores_gemma":[0.9955714,0.000002629228,0.004079914,0.00001611765,0.00006149893,0.0001365402,0.0001139568,0.00001193703,0.000006054938],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8566814,"threshold_uncertainty_score":0.5620417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03057929924509253,"score_gpt":0.3020577372561222,"score_spread":0.2714784380110297,"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."}}