{"id":"W4415500125","doi":"10.1007/978-3-031-90731-9_18","title":"DiVincenzo Criteria","year":2025,"lang":"en","type":"book-chapter","venue":"The Materials Research Society series","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Set (abstract data type); Selection (genetic algorithm); Fuzzy logic; Context (archaeology); Term (time)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003112782,0.000590781,0.0007202172,0.0001419685,0.001666869,0.002104503,0.004018155,0.0005217342,0.0003608455],"category_scores_gemma":[0.00005989713,0.0004193402,0.0004316788,0.0002485327,0.001039903,0.0003267906,0.004450247,0.0012582,0.0001984504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001653595,"about_ca_system_score_gemma":0.0006349949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009319507,"about_ca_topic_score_gemma":0.00002599719,"domain_scores_codex":[0.995397,0.0003918529,0.0006216046,0.001082552,0.001427309,0.001079707],"domain_scores_gemma":[0.9963531,0.0006767421,0.0002051626,0.002039283,0.0005616147,0.0001640297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004609714,0.00004478362,8.062058e-7,0.0007589043,0.0004217949,0.00007402384,0.004055726,0.00002378557,0.008133784,0.5277725,0.4311765,0.02749128],"study_design_scores_gemma":[0.0001900176,0.00019071,0.00001714343,0.0005542235,0.00001696673,0.0000384832,0.00006375447,0.002777624,0.002276928,0.1431423,0.8501363,0.0005955069],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004077105,0.01477094,0.07179262,0.08505091,0.02910209,0.009468049,0.002714723,0.005757708,0.7772658],"genre_scores_gemma":[0.006271937,0.001693325,0.01826724,0.001154559,0.002630519,0.0001161058,0.00009461018,0.0001271488,0.9696445],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4189598,"threshold_uncertainty_score":0.9998258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03545593249549907,"score_gpt":0.3180304973785404,"score_spread":0.2825745648830414,"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."}}