{"id":"W4304890014","doi":"","title":"Computing the Longest Previous Factor","year":2013,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Data Processing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Factor (programming language); Computer science; 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":[0.002004082,0.001864593,0.002137993,0.003801098,0.00177567,0.00415208,0.002058913,0.001457068,0.03908271],"category_scores_gemma":[0.0186107,0.0005465476,0.001761263,0.004223322,0.0018386,0.007685349,0.002351486,0.002321583,0.01311734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00190552,"about_ca_system_score_gemma":0.002317675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003159485,"about_ca_topic_score_gemma":0.005286294,"domain_scores_codex":[0.9975148,0.0002652166,0.0001909792,0.0009191806,0.0006476752,0.0004620255],"domain_scores_gemma":[0.9916432,0.00303463,0.0004402133,0.002806346,0.001359726,0.0007159487],"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":[0.003600553,0.0003634377,0.007254045,0.0008653181,0.0001901554,0.0005170247,0.0003209474,0.04115823,0.02553597,0.09240911,0.0713976,0.7563877],"study_design_scores_gemma":[0.0003082643,0.0006246576,0.003740326,0.0002366752,0.0002121487,0.0009497716,0.0003853312,0.4323168,0.04429904,0.4626585,0.05411347,0.0001551272],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1443536,0.003636088,0.7982523,0.004197868,0.002229231,0.0001780263,0.003892395,0.009785886,0.03347455],"genre_scores_gemma":[0.4809622,0.001624456,0.4734046,0.0005873999,0.001447543,0.0001822862,0.007057392,0.002397635,0.03233653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03908271,"threshold_uncertainty_score":0.1307447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01572839630574599,"score_gpt":0.236697987371912,"score_spread":0.220969591066166,"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."}}