{"id":"W2125031115","doi":"10.1145/1062455.1062617","title":"Predictor models in software engineering (PROMISE)","year":2005,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Software engineering; Software; Data science; Systems engineering; Engineering; 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":[0.007681114,0.001111252,0.002250101,0.00146709,0.001188563,0.003141166,0.002015314,0.001610604,0.02831145],"category_scores_gemma":[0.02377836,0.001128467,0.001376238,0.004656588,0.000957444,0.004720573,0.002745199,0.005877387,0.01399699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007515277,"about_ca_system_score_gemma":0.00329002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00643552,"about_ca_topic_score_gemma":0.008514277,"domain_scores_codex":[0.9973412,0.00173959,0.00008339838,0.0003065605,0.0004175216,0.0001117724],"domain_scores_gemma":[0.9825045,0.01211677,0.0006950163,0.002174187,0.001976313,0.0005331275],"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":[0.0005198081,0.0002815746,0.005363786,0.001363914,0.0004104114,0.0001463187,0.0002361418,0.080813,0.0003770163,0.1850262,0.2623849,0.4630769],"study_design_scores_gemma":[0.0002215991,0.000348939,0.003949202,0.0006802502,0.00044639,0.0001618364,0.0001388002,0.3832674,0.001157621,0.4934875,0.1160053,0.0001351689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01497117,0.02747882,0.8871693,0.03040758,0.003550014,0.0001133583,0.004726858,0.00786424,0.02371867],"genre_scores_gemma":[0.3478003,0.05027851,0.4612603,0.003807276,0.01052528,0.000977932,0.01244323,0.00339839,0.1095088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02831145,"threshold_uncertainty_score":0.09471124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01509790280818333,"score_gpt":0.2301803364773342,"score_spread":0.2150824336691509,"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."}}