{"id":"W2154836512","doi":"10.1109/ccece.1996.548099","title":"LAM: another Prolog abstract machine","year":2002,"lang":"en","type":"article","venue":"","topic":"Logic, programming, and type systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Prolog; Computer science; Programming language; Pointer (user interface); Heap (data structure); Unification; Copying; Data structure; Abstract machine; Executable; Logic programming; Theoretical computer science; Parallel computing; Artificial intelligence","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":[0.0007319953,0.0003281738,0.000322446,0.000642605,0.0008351261,0.00160041,0.001933444,0.0007814324,0.01223553],"category_scores_gemma":[0.00212156,0.0004822826,0.0006396954,0.000838674,0.00077798,0.002946259,0.001455935,0.001290658,0.00489823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001181409,"about_ca_system_score_gemma":0.001799674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003023687,"about_ca_topic_score_gemma":0.003409835,"domain_scores_codex":[0.9994071,0.0001697984,0.00005305562,0.0001065347,0.0001632845,0.0001002769],"domain_scores_gemma":[0.9992347,0.0001676834,0.00007639611,0.0002637208,0.0001903105,0.0000671985],"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":[0.001057291,0.0003058233,0.003662582,0.0009304344,0.00009754678,0.0004704886,0.0007612272,0.02516879,0.02447904,0.2050449,0.1551739,0.5828481],"study_design_scores_gemma":[0.0003594971,0.0004114499,0.001193975,0.000120066,0.000141763,0.0005011506,0.0002096429,0.2905353,0.03722001,0.09409564,0.5750638,0.0001476503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03636822,0.0007653501,0.7825005,0.00188685,0.0003853968,0.0002673553,0.002703932,0.1502322,0.02489017],"genre_scores_gemma":[0.282839,0.0006188814,0.6725937,0.001325827,0.0002346879,0.0003986883,0.004979916,0.003240768,0.03376861],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01223553,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03202269030280179,"score_gpt":0.2367133903479985,"score_spread":0.2046907000451967,"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."}}