{"id":"W2950445731","doi":"10.1002/chin.200833136","title":"ChemInform Abstract: Copper‐Catalyzed Domino Annulation Approaches to the Synthesis of Benzoxazoles under Microwave‐Accelerated and Conventional Thermal Conditions.","year":2008,"lang":"en","type":"article","venue":"ChemInform","topic":"Catalytic Cross-Coupling Reactions","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Chemistry; Domino; Annulation; Copper; Microwave; Catalysis; Combinatorial chemistry; Service (business); Nanotechnology; Organic chemistry; Telecommunications; Business; 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":[0.0002693892,0.0009127464,0.0003830629,0.0005791871,0.0004045814,0.0004530864,0.0009234,0.0004281209,0.009484392],"category_scores_gemma":[0.000297441,0.0004227077,0.0003070816,0.0006190815,0.0003617964,0.0009058258,0.0005609607,0.001156122,0.003394427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006104064,"about_ca_system_score_gemma":0.0004673572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005991657,"about_ca_topic_score_gemma":0.001261984,"domain_scores_codex":[0.999838,0.00002133078,0.00001084682,0.00002775438,0.00005204656,0.00004994388],"domain_scores_gemma":[0.9999518,0.000007349098,0.00001413177,0.000008758068,0.000007073681,0.0000107766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001129762,0.0003000447,0.0003526103,0.002493118,0.0001674152,0.001078924,0.0003386916,0.003250004,0.766046,0.02636391,0.03776574,0.1607138],"study_design_scores_gemma":[0.0002430903,0.000839303,0.001150787,0.00009473195,0.0000932494,0.001159205,0.00004374953,0.00398818,0.8956717,0.003399609,0.09324382,0.00007254697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.523608,0.06816554,0.1428355,0.002390455,0.00336984,0.0008853251,0.004717425,0.00498473,0.2490431],"genre_scores_gemma":[0.8954623,0.02748071,0.01926692,0.0003829899,0.000491189,0.00022476,0.001612561,0.0003051534,0.05477344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009484392,"threshold_uncertainty_score":0.03172839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06152395407570896,"score_gpt":0.2551556013827754,"score_spread":0.1936316473070664,"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."}}