{"id":"W6892510188","doi":"10.5281/zenodo.10022601","title":"Belief-Driven Software Product Line Development and Evolution","year":2023,"lang":"en","type":"preprint","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"European Commission","keywords":"Software product line; Feature (linguistics); Feature model; Context (archaeology); Product (mathematics); Software evolution; Software","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":[0.004538186,0.0006429955,0.0004463819,0.0006981671,0.0004983855,0.002112587,0.001279655,0.001342453,0.001413432],"category_scores_gemma":[0.0137164,0.0006155435,0.0007403613,0.0007417703,0.001414165,0.002025388,0.001671855,0.001207296,0.0001987057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001669797,"about_ca_system_score_gemma":0.0009838602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004303705,"about_ca_topic_score_gemma":0.003784424,"domain_scores_codex":[0.996511,0.001866834,0.0001482259,0.0004147059,0.0008715474,0.0001875908],"domain_scores_gemma":[0.9922792,0.005419548,0.000731444,0.0005004653,0.0008449373,0.0002244352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001973222,0.0001129766,0.00382641,0.0002149947,0.0001335734,0.0004674326,0.001373088,0.7563006,0.005091344,0.1652339,0.0009136691,0.06613477],"study_design_scores_gemma":[0.00002208669,0.00003600707,0.0002589746,0.000016657,0.00001893146,0.0000341557,0.00006493776,0.9507459,0.001025125,0.04675175,0.001010981,0.00001454946],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04935815,0.0001661384,0.9462285,0.0006814218,0.00001570445,0.00006085515,0.00005615121,0.0001966312,0.003236432],"genre_scores_gemma":[0.7458129,0.0001877541,0.2515193,0.0001294398,0.00002247995,0.000138172,0.0001318631,0.00005224229,0.002005812],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004538186,"threshold_uncertainty_score":0.02400053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09748076288292035,"score_gpt":0.2865737027502363,"score_spread":0.189092939867316,"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."}}