{"id":"W4402293332","doi":"10.1002/9781119912965.ch2","title":"Characterization of Parallelism in Applications","year":2024,"lang":"en","type":"other","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Parallelism (grammar); Characterization (materials science); Computer science; Parallel computing; Task parallelism; Nanotechnology; Materials science","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":[0.0004667344,0.000671817,0.0004205706,0.001811597,0.0005653048,0.001895403,0.0004962218,0.0003865034,0.00693672],"category_scores_gemma":[0.001757191,0.0002933547,0.0003437824,0.00184927,0.0006685191,0.001740768,0.0005825487,0.0007982183,0.001645664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007501038,"about_ca_system_score_gemma":0.00073304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007929198,"about_ca_topic_score_gemma":0.001194504,"domain_scores_codex":[0.9991642,0.000102232,0.00004906231,0.000143305,0.0004861071,0.00005514278],"domain_scores_gemma":[0.9991192,0.0003470484,0.0001062136,0.0001441612,0.0002521469,0.00003112504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001159158,0.0001304301,0.004269133,0.001403212,0.00005752846,0.0002628908,0.0005438842,0.07541971,0.07830904,0.4901057,0.02136677,0.3280157],"study_design_scores_gemma":[0.00001567991,0.0001612764,0.007766444,0.0005078522,0.00004841732,0.001208571,0.000339088,0.2185602,0.08233669,0.2408886,0.4480938,0.00007331387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05582468,0.01687989,0.7173802,0.001311243,0.0003611346,0.0006380696,0.002731403,0.002555602,0.2023178],"genre_scores_gemma":[0.5412911,0.01467988,0.3745188,0.0004836378,0.0003712093,0.0006873387,0.003215349,0.001368625,0.06338397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00693672,"threshold_uncertainty_score":0.0232057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01103021330080908,"score_gpt":0.2577809389899928,"score_spread":0.2467507256891837,"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."}}