{"id":"W2092436669","doi":"10.3390/molecules20046959","title":"Kinugasa Reactions in Water: From Green Chemistry to Bioorthogonal Labelling","year":2015,"lang":"en","type":"review","venue":"Molecules","topic":"Click Chemistry and Applications","field":"Chemistry","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; National Research Council Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bioorthogonal chemistry; Chemistry; Labelling; Aqueous medium; Combinatorial chemistry; Aqueous solution; Green chemistry; Scope (computer science); Organic chemistry; Reaction mechanism; Catalysis; Click chemistry; Computer science; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001145001,0.0004936543,0.0009615098,0.00005309964,0.00007992392,0.00005785138,0.0006121342,0.000564569,0.001250147],"category_scores_gemma":[0.00004519955,0.0004324683,0.0002925665,0.0002555888,0.00004911232,0.00003322562,0.0002398399,0.0006734779,0.0005038381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002416888,"about_ca_system_score_gemma":0.0001646457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004350507,"about_ca_topic_score_gemma":0.00003325146,"domain_scores_codex":[0.9978099,0.00001857761,0.0007260331,0.0007688394,0.000256684,0.0004199734],"domain_scores_gemma":[0.9985473,0.00009394914,0.0001650385,0.0008484253,0.0000625256,0.0002827403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001527926,0.0004402018,0.00001584756,0.01753712,0.0003031506,0.0001573364,0.0002366753,0.00003597951,0.1474558,0.000047282,0.002247651,0.8315077],"study_design_scores_gemma":[0.0001174667,0.000001601569,1.727124e-7,0.003514981,0.0001720818,0.00002001734,0.0000241103,0.00000724949,0.04225402,0.0002052088,0.9532062,0.0004768543],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002974323,0.9752271,0.00004084782,0.0001712305,0.0000420588,0.0002096172,0.001104991,0.0001713826,0.02005842],"genre_scores_gemma":[0.0001802501,0.9814277,0.0005749529,0.00004271608,0.0007846142,0.0006566244,0.006761746,0.0001312029,0.0094402],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9509586,"threshold_uncertainty_score":0.9998127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06406770193040126,"score_gpt":0.3269185192524581,"score_spread":0.2628508173220568,"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."}}