{"id":"W34736750","doi":"10.1016/j.clinbiomech.2021.105515","title":"Haskell as a higher order structural hardware description language","year":2009,"lang":"en","type":"dissertation","venue":"","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de Recherche du Québec - Santé; Arthritis Society","keywords":"Haskell; Computer science; Programming language; Order (exchange); Functional programming","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001586445,0.001021865,0.0004871684,0.001158952,0.0004975498,0.002897183,0.001487057,0.0009259506,0.01930493],"category_scores_gemma":[0.003530484,0.0006739901,0.001125228,0.001100162,0.0008575108,0.003496193,0.00124097,0.001813757,0.00820835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000899207,"about_ca_system_score_gemma":0.001725561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002195144,"about_ca_topic_score_gemma":0.003981673,"domain_scores_codex":[0.99808,0.0004093727,0.0003842519,0.0002451543,0.0006965316,0.0001845842],"domain_scores_gemma":[0.9974589,0.001172207,0.000242659,0.0006100323,0.0004407332,0.00007543997],"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":[0.0005189619,0.0001623974,0.001497401,0.002574899,0.0001254885,0.0006909392,0.001012731,0.01708954,0.02405649,0.5183175,0.1127122,0.3212415],"study_design_scores_gemma":[0.0001680566,0.0002217178,0.0006009035,0.0006023046,0.0001154008,0.0009377839,0.0001967376,0.06997161,0.05555482,0.1832754,0.6881987,0.0001566526],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01570641,0.003132341,0.8562602,0.001548912,0.0007714374,0.0004273916,0.01440166,0.0746661,0.0330856],"genre_scores_gemma":[0.3020102,0.002823352,0.5976444,0.002083528,0.0004153992,0.00090003,0.02345711,0.0150355,0.05563047],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01930493,"threshold_uncertainty_score":0.06458145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456804164860682,"score_gpt":0.2884702788170136,"score_spread":0.2739022371684068,"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."}}