{"id":"W2345443981","doi":"10.1103/physrevlett.117.150502","title":"Quantum Change Point","year":2016,"lang":"en","type":"preprint","venue":"Physical Review Letters","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"European Research Council; Ministerio de Economía y Competitividad; Generalitat de Catalunya; National Natural Science Foundation of China; Foundational Questions Institute; Canadian Institute for Advanced Research","keywords":"Point (geometry); Construct (python library); Sequence (biology); Domain (mathematical analysis); State (computer science); Particle (ecology); Measure (data warehouse); Computer science; Quantum; Statistical physics; Physics; Mathematics; Algorithm; Quantum mechanics; Biology; Data mining; Mathematical analysis; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002102227,0.0005818046,0.001189966,0.00123583,0.001345434,0.002371198,0.001784178,0.002503924,0.01121253],"category_scores_gemma":[0.01962678,0.0004658852,0.0008366195,0.0009944428,0.003602039,0.005590675,0.00288166,0.002527582,0.001549288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001559673,"about_ca_system_score_gemma":0.0008443588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008771272,"about_ca_topic_score_gemma":0.000479721,"domain_scores_codex":[0.997333,0.0005357405,0.0001028868,0.0009082854,0.0008001598,0.0003199577],"domain_scores_gemma":[0.9893211,0.006119057,0.001338141,0.001619124,0.001098212,0.0005043547],"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":[0.0003904369,0.0001054326,0.005479437,0.0003502984,0.0001185913,0.0006865394,0.0004337373,0.04089701,0.01297154,0.8605081,0.007974379,0.07008448],"study_design_scores_gemma":[0.00006012344,0.0002546322,0.002952408,0.00008420712,0.00005125967,0.0009231949,0.0002514964,0.2274623,0.01370899,0.7372861,0.01685151,0.0001137711],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1133359,0.002183784,0.8452527,0.002159818,0.0005634418,0.0004135481,0.0007469133,0.001217515,0.03412636],"genre_scores_gemma":[0.920213,0.0007226171,0.06822401,0.000613661,0.0002256052,0.0002939056,0.0003715614,0.0002313166,0.009104237],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01121253,"threshold_uncertainty_score":0.03750962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04051819116376042,"score_gpt":0.3013110832529329,"score_spread":0.2607928920891724,"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."}}