{"id":"W4252536947","doi":"10.1071/ch11085","title":"Constructive Embedding","year":2011,"lang":"en","type":"article","venue":"Australian Journal of Chemistry","topic":"Synthesis and Properties of Aromatic Compounds","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Allison University","funders":"","keywords":"Constructive; Embedding; Set (abstract data type); Chemistry; Computer science; Theoretical computer science; Artificial intelligence; Process (computing); Programming language","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":[0.001333271,0.001124648,0.0005502517,0.001425003,0.001013577,0.00227079,0.001249603,0.0007634141,0.01550757],"category_scores_gemma":[0.004293174,0.000415615,0.001003,0.0008502168,0.002845371,0.00456347,0.003233185,0.00268342,0.004729199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001118957,"about_ca_system_score_gemma":0.0005993256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000279569,"about_ca_topic_score_gemma":0.0003703462,"domain_scores_codex":[0.9981532,0.0006342012,0.0001067628,0.0002963667,0.0006440895,0.0001653884],"domain_scores_gemma":[0.9980983,0.0007808842,0.0001178542,0.0003994106,0.0005172638,0.00008628861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000008065289,0.000008547027,0.00002165908,0.00003853019,0.00000354584,0.00003046361,0.00007149708,0.00170084,0.0007251928,0.9865573,0.00129256,0.009541672],"study_design_scores_gemma":[0.000004076918,0.00002010908,0.000022006,0.00002300586,0.000005883294,0.000111786,0.0000415467,0.0124277,0.002968009,0.9616873,0.02267605,0.00001266166],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005758064,0.0006461558,0.8984141,0.0005690614,0.000363169,0.0000629165,0.0001958887,0.0003791923,0.0936114],"genre_scores_gemma":[0.4420214,0.002303001,0.4749875,0.00116366,0.0008641296,0.0003911068,0.001004064,0.0008624982,0.07640266],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01550757,"threshold_uncertainty_score":0.05187804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04450741517005362,"score_gpt":0.2479977953391324,"score_spread":0.2034903801690787,"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."}}