{"id":"W2795286600","doi":"10.18174/444615","title":"Verification of PUM’s intervention logic: Insights from the PRIME toolbox","year":2018,"lang":"en","type":"report","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Toolbox; Prime (order theory); Computer science; Programming language; Mathematics; Combinatorics","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":[0.009622122,0.0007105989,0.0009132643,0.001706158,0.002500325,0.006319054,0.002219071,0.002738466,0.03396076],"category_scores_gemma":[0.03641478,0.0006406365,0.002384833,0.0009502088,0.01082335,0.01363471,0.005859889,0.003464115,0.003459629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002920938,"about_ca_system_score_gemma":0.003832915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003676678,"about_ca_topic_score_gemma":0.002155227,"domain_scores_codex":[0.9936581,0.00323946,0.0004408271,0.001361665,0.0007311077,0.0005687943],"domain_scores_gemma":[0.978638,0.01604648,0.0008941197,0.002158647,0.00175479,0.0005078678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00005382379,0.00002587846,0.000486685,0.00006308075,0.00001032456,0.0001654369,0.0006840119,0.001454918,0.0002693177,0.9885203,0.0007951987,0.007471041],"study_design_scores_gemma":[0.00005107462,0.00005416009,0.0003337481,0.00007601755,0.00002202606,0.0001855101,0.000579776,0.01723762,0.0008371653,0.9686533,0.01194971,0.00001983339],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04707091,0.0004847235,0.708163,0.008484677,0.0002047437,0.0003465406,0.0004551497,0.001406535,0.2333838],"genre_scores_gemma":[0.8227413,0.0002639562,0.1582335,0.001093321,0.00009504607,0.000442504,0.0003964051,0.0003520915,0.01638182],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03396076,"threshold_uncertainty_score":0.1136101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04002904245989956,"score_gpt":0.2961563908529914,"score_spread":0.2561273483930918,"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."}}