{"id":"W4252443816","doi":"10.36227/techrxiv.12601991.v1","title":"Towards a Programming Paradigm for Reconfigurable Computing: Asynchronous Graph Programming","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Control reconfiguration; Computer science; Asynchronous communication; Parallel computing; Programming paradigm; Distributed computing; Software; Graph; Programming language; Computer architecture; Theoretical computer science; Embedded system","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002664266,0.0007182267,0.0008574882,0.0001446718,0.0002433531,0.0002798227,0.0005591669,0.0003747602,0.00002143215],"category_scores_gemma":[0.00008064652,0.0007513266,0.0004614049,0.0002771457,0.00005652312,0.0001216912,0.0002454071,0.001158271,0.00001490662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001503815,"about_ca_system_score_gemma":0.00009552034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001314021,"about_ca_topic_score_gemma":0.000008242276,"domain_scores_codex":[0.9971194,0.00003468607,0.0007407324,0.0009083217,0.0002193991,0.0009775228],"domain_scores_gemma":[0.9988073,0.0001613351,0.0001841041,0.0004792075,0.00007274213,0.0002953043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003327865,0.00004332875,0.00001399811,0.003030931,0.0002324258,0.00003425146,0.0005748691,0.2248521,0.0008599567,0.001561315,0.0004456129,0.7683179],"study_design_scores_gemma":[0.002136758,0.0007664677,0.00007277789,0.001899889,0.0003900647,0.0001317676,0.000495602,0.7041147,0.07396996,0.03696043,0.1744845,0.004577102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01658903,0.001346,0.9669421,0.0003922014,0.002210246,0.003391474,0.00002426688,0.005044853,0.004059858],"genre_scores_gemma":[0.7979246,0.0000633119,0.2001234,0.0001375252,0.0009602029,0.0003362514,0.0001738316,0.0002232797,0.00005751827],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7813356,"threshold_uncertainty_score":0.9994938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04085989690775829,"score_gpt":0.2790959464131949,"score_spread":0.2382360495054366,"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."}}