{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007339013,0.00009761488,0.0001528131,0.0004176704,0.00000453598,0.00003097176,0.0004374005,0.0001220494,0.00008607475],"category_scores_gemma":[0.00000212856,0.00009135553,0.00003188043,0.0004091799,0.00001413865,0.00003651769,0.0001144089,0.00007901768,0.0001413633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001062797,"about_ca_system_score_gemma":0.00002689163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003953845,"about_ca_topic_score_gemma":0.000009769692,"domain_scores_codex":[0.9993669,0.00001875297,0.0001906895,0.0002492288,0.00009335957,0.00008101526],"domain_scores_gemma":[0.9994869,0.000006145817,0.0001049638,0.0003678872,0.00001635705,0.00001777363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[7.632141e-7,0.0001214963,0.00002737169,0.0003702636,0.00003078638,0.000004686573,0.0002178266,0.00007436282,0.0008038196,0.5435182,0.431839,0.02299145],"study_design_scores_gemma":[0.00006528362,0.00001140282,0.00003050012,0.0002287383,0.000003527849,0.000001629684,9.907073e-7,0.01981319,0.0005241276,0.004655176,0.9744626,0.0002028473],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[3.954519e-7,0.0001375524,0.6062782,0.00008269688,0.00004949871,0.0001571979,0.000002634005,0.0005524323,0.3927394],"genre_scores_gemma":[0.00043679,0.0003123593,0.1763067,0.00008903739,0.00006941226,0.00009605844,0.00003572148,0.0001080126,0.8225459],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5426236,"threshold_uncertainty_score":0.372537,"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."}}