{"id":"W4285203758","doi":"10.1109/access.2022.3174192","title":"An Interactive Interpreter for Two Dimensional Lucid","year":2022,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Lucid dream; Interpreter; Computer science; Human–computer interaction; Programming language","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":[0.003842102,0.001028635,0.001015743,0.001108633,0.0008631685,0.004045258,0.003562753,0.001390951,0.02919812],"category_scores_gemma":[0.008273589,0.001270255,0.002764987,0.0004908572,0.002266958,0.005032089,0.0066344,0.004026698,0.01019476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002466151,"about_ca_system_score_gemma":0.001896475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002003192,"about_ca_topic_score_gemma":0.002464341,"domain_scores_codex":[0.9978255,0.0004162065,0.0002373378,0.0003739585,0.0008740367,0.00027304],"domain_scores_gemma":[0.9976463,0.001104468,0.00009697831,0.0004106949,0.0006006823,0.0001408915],"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":[0.001531842,0.0002077887,0.00296883,0.001656562,0.0001516453,0.001004125,0.005192266,0.01146679,0.02673016,0.6241258,0.1509639,0.1740002],"study_design_scores_gemma":[0.0002790622,0.000114292,0.0005674494,0.0004752503,0.0000926994,0.0006276054,0.0003325597,0.09311802,0.04206479,0.09817082,0.7639229,0.0002346347],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.004222639,0.0002540008,0.8774025,0.0006073982,0.0003939166,0.0001876294,0.001796209,0.09632371,0.01881202],"genre_scores_gemma":[0.100962,0.0003562216,0.8129348,0.002056587,0.0002349618,0.0008748902,0.005687558,0.04241284,0.03448017],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02919812,"threshold_uncertainty_score":0.09767741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02046818117532629,"score_gpt":0.3648581318169308,"score_spread":0.3443899506416045,"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."}}