{"id":"W2951913198","doi":"10.1002/chin.200233300","title":"ChemInform Abstract: NMR Quantum Information Processing and Entanglement.","year":2002,"lang":"en","type":"article","venue":"ChemInform","topic":"Molecular spectroscopy and chirality","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Chemistry; Quantum entanglement; Quantum information processing; Service (business); Quantum; Quantum mechanics; Business; Physics; Marketing","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":[0.0006404964,0.0009770325,0.0006832532,0.001855124,0.0008338749,0.002629622,0.0009525575,0.0007793545,0.09666812],"category_scores_gemma":[0.001628416,0.0005242282,0.0003152526,0.001630619,0.0008992459,0.00358017,0.001396505,0.001295741,0.02956081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008804112,"about_ca_system_score_gemma":0.0006560517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000682219,"about_ca_topic_score_gemma":0.0008165038,"domain_scores_codex":[0.9995307,0.00007509799,0.00002338146,0.00007268292,0.0002596447,0.0000385639],"domain_scores_gemma":[0.9994642,0.000123041,0.00005174569,0.0001313632,0.0001366121,0.00009301097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002965163,0.00004637443,0.0001348436,0.0003442025,0.00002176129,0.0001165684,0.00007482266,0.002407908,0.01163911,0.3306659,0.4913097,0.1629422],"study_design_scores_gemma":[0.00007718667,0.00007335901,0.0004841917,0.0001306304,0.00003819399,0.000361831,0.00005068943,0.04018108,0.0450707,0.3958749,0.5175757,0.00008147539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01058938,0.01529252,0.5319996,0.01130701,0.006254752,0.0002010679,0.01980961,0.03132626,0.3732198],"genre_scores_gemma":[0.3069886,0.0159141,0.2461598,0.003430187,0.007846541,0.0004903119,0.02783784,0.007922964,0.3834097],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09666812,"threshold_uncertainty_score":0.3233871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0127317881715314,"score_gpt":0.2377193405233328,"score_spread":0.2249875523518014,"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."}}