{"id":"W1652141976","doi":"10.48550/arxiv.cs/0506035","title":"Fast Recompilation of Object Oriented Modules","year":2005,"lang":"en","type":"preprint","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Compiler; Programming language; Object (grammar); Code (set theory); Generator (circuit theory); Compile time; Code generation; Parallel computing; Operating system; Artificial intelligence; Key (lock)","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":[0.001032101,0.0006350512,0.0008328283,0.001081865,0.0002109491,0.0002934599,0.002391285,0.0007815134,0.00001624827],"category_scores_gemma":[0.0002004584,0.0006864573,0.0003964435,0.0008479463,0.0001070908,0.0004451384,0.002281981,0.001030041,0.00001047053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005464456,"about_ca_system_score_gemma":0.0004796599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002258745,"about_ca_topic_score_gemma":0.0003164204,"domain_scores_codex":[0.9960565,0.0003275576,0.001161234,0.001086614,0.000663333,0.0007047532],"domain_scores_gemma":[0.9955447,0.0001442535,0.001134587,0.002419894,0.000504235,0.0002523144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006231889,0.0006051359,0.00537617,0.0002324618,0.0001623792,0.00002531455,0.001105432,0.7529598,0.001432703,0.0839175,0.008327572,0.1457932],"study_design_scores_gemma":[0.0002674107,0.0001076265,0.007351338,0.0002877252,0.00002662021,0.00003289018,0.00001241599,0.9663491,0.01569708,0.007799622,0.001408982,0.0006591709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008952584,0.0009715393,0.9820706,0.001976215,0.0003864839,0.0009357677,0.0000580295,0.003086642,0.001562115],"genre_scores_gemma":[0.3258674,0.0004300981,0.6722971,0.0004500738,0.0001693241,0.0002179887,0.00009113755,0.00005389087,0.0004230151],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3169148,"threshold_uncertainty_score":0.9995587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0127637765158359,"score_gpt":0.2446048857099378,"score_spread":0.2318411091941019,"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."}}