{"id":"W7104456890","doi":"10.5281/zenodo.17556483","title":"Spectral-Multiplicative Optimization Framework","year":2025,"lang":"en","type":"dissertation","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Heuristic; Optimization problem; Multiplicative function; Convergence (economics); Constrained optimization; Global optimization; Constraint (computer-aided design)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002288609,0.001088165,0.0007564058,0.0009104307,0.000863963,0.002435039,0.002606403,0.001000026,0.01949425],"category_scores_gemma":[0.005504046,0.0005079844,0.001188757,0.001040712,0.001434577,0.002194886,0.002645579,0.002744065,0.004185055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001688606,"about_ca_system_score_gemma":0.002569756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003504413,"about_ca_topic_score_gemma":0.005926867,"domain_scores_codex":[0.9982207,0.0005342218,0.00008695829,0.0002407705,0.00076625,0.0001509894],"domain_scores_gemma":[0.9985309,0.000507245,0.00006514868,0.0003989278,0.0004134325,0.00008438685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003783555,0.00006002527,0.0002383932,0.0001364885,0.0000252822,0.00006072686,0.0000766402,0.2464974,0.001848255,0.6816165,0.00900304,0.06039941],"study_design_scores_gemma":[0.00001395139,0.00001791089,0.00005046484,0.00002370424,0.000006642976,0.00002856729,0.000023812,0.7585922,0.001186905,0.220959,0.01908399,0.00001281062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001586703,0.00009241894,0.9843353,0.0002428852,0.00004371836,0.00006427213,0.0002105532,0.0007374513,0.01268675],"genre_scores_gemma":[0.1117754,0.0002598009,0.8749852,0.0003531017,0.00009009899,0.0003912457,0.0007024673,0.0008426352,0.01060012],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01949425,"threshold_uncertainty_score":0.06521469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02243130766186581,"score_gpt":0.2619489755576584,"score_spread":0.2395176678957926,"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."}}