{"id":"W3091849749","doi":"10.2172/1669221","title":"Numerical Experiments and Identification of Areas for Further Consideration (B639388 Subcontract Quarter II Report)","year":2020,"lang":"en","type":"report","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Univerzita Karlova v Praze; Lawrence Livermore National Laboratory; U.S. Department of Energy","keywords":"Quarter (Canadian coin); Convergence (economics); Numerical analysis; Remainder; Identification (biology); Conjugate gradient method; Computer science; Numerical stability; Stability (learning theory); Applied mathematics; Mathematics; Algorithm; Arithmetic; Machine learning; Mathematical analysis; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001968307,0.0002123402,0.0003978489,0.00007842879,0.00005168,0.00005262081,0.00004183622,0.000234135,0.00005470341],"category_scores_gemma":[0.0001776885,0.0002081638,0.00009573713,0.00006439415,0.00002237373,0.00008414103,0.00000866356,0.00009597767,0.000002508236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007941249,"about_ca_system_score_gemma":0.00009901877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003879279,"about_ca_topic_score_gemma":0.00000859515,"domain_scores_codex":[0.998373,0.00001740901,0.0008641566,0.0002924647,0.0003198621,0.0001331653],"domain_scores_gemma":[0.9990439,0.00005582819,0.0002751506,0.000235667,0.0003177102,0.00007171894],"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":[0.0003358042,0.000913977,0.01194224,0.008687269,0.003607465,0.0002859702,0.006495853,0.300617,0.1832399,0.003958388,0.4615191,0.01839709],"study_design_scores_gemma":[0.001406438,0.0003541519,0.003976853,0.0002401725,0.0004547593,0.0002812835,0.0003831536,0.8681633,0.07577328,0.000515507,0.04714194,0.00130912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01003331,0.0009636033,0.9743316,0.0004791011,0.001881829,0.001489081,0.00007010593,0.0003027479,0.0104486],"genre_scores_gemma":[0.996843,0.0001548808,0.001193624,0.00002268437,0.0002131557,0.00005908131,0.000742655,0.00006573194,0.0007051373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9868097,"threshold_uncertainty_score":0.8488674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03124349064813014,"score_gpt":0.2830053395281107,"score_spread":0.2517618488799806,"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."}}