{"id":"W2021436267","doi":"10.1145/1463788.1463806","title":"A methodological leg to stand on","year":2008,"lang":"en","type":"article","venue":"","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science","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":[0.08781878,0.00113522,0.001767907,0.004757148,0.0127932,0.02054433,0.003289391,0.008360778,0.01702434],"category_scores_gemma":[0.173953,0.0008442083,0.001362829,0.003570423,0.0330947,0.02567052,0.01400899,0.01951498,0.005872976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006869224,"about_ca_system_score_gemma":0.01555598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003585807,"about_ca_topic_score_gemma":0.004614537,"domain_scores_codex":[0.9158883,0.0613981,0.003811256,0.00531943,0.01141402,0.002168941],"domain_scores_gemma":[0.8673745,0.07091781,0.004499868,0.02346932,0.02606779,0.007670776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001246731,0.0001018872,0.001040376,0.0006935359,0.00007853958,0.0001617784,0.01483199,0.0001842988,0.0005842411,0.8513344,0.0750103,0.05585401],"study_design_scores_gemma":[0.00008243401,0.0002130036,0.000592475,0.005045337,0.00006354808,0.0001916175,0.02470811,0.0004896921,0.0004686233,0.4733853,0.4946974,0.00006235075],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.004862393,0.009980246,0.07338087,0.8367025,0.03525345,0.0005727346,0.0002511255,0.000253683,0.03874299],"genre_scores_gemma":[0.2307332,0.01591005,0.1686309,0.4972114,0.01879964,0.004425417,0.0006265554,0.0009446459,0.06271829],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.08781878,"threshold_uncertainty_score":0.4644356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3236292420747246,"score_gpt":0.3884668193996545,"score_spread":0.0648375773249299,"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."}}