{"id":"W2801010840","doi":"10.1002/ange.201802620","title":"Fluor‐NMR‐Spektroskopie rekalibriert","year":2018,"lang":"de","type":"article","venue":"Angewandte Chemie","topic":"Fluorine in Organic Chemistry","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009895151,0.001328977,0.0008051865,0.001451006,0.0007731436,0.001030054,0.001219724,0.001231916,0.02310624],"category_scores_gemma":[0.001255157,0.000612848,0.0007009569,0.001183417,0.0007153964,0.002161201,0.0008737935,0.002449906,0.009157808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001290992,"about_ca_system_score_gemma":0.0007009993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001944349,"about_ca_topic_score_gemma":0.001441447,"domain_scores_codex":[0.9985941,0.000158927,0.00009976705,0.0003759454,0.0005717599,0.0001995325],"domain_scores_gemma":[0.9990847,0.0002842492,0.0001221521,0.0001952135,0.0002711172,0.00004258575],"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":[0.0002893035,0.00004927602,0.0001983367,0.0004393315,0.00002538497,0.0001331077,0.00009062116,0.0006371633,0.9794179,0.0007140207,0.001510575,0.01649501],"study_design_scores_gemma":[0.00003094607,0.0003283177,0.0009022178,0.00003602276,0.00003617279,0.0001425092,0.00005084221,0.001576745,0.9662338,0.0003577273,0.03025664,0.0000480241],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6390662,0.02873729,0.2115146,0.002553666,0.003677878,0.001034863,0.008902143,0.009091068,0.09542231],"genre_scores_gemma":[0.7381241,0.01548546,0.1620519,0.002474079,0.00036706,0.0010782,0.009233637,0.002210675,0.06897486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02310624,"threshold_uncertainty_score":0.0772981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06729541154947725,"score_gpt":0.3805579263098622,"score_spread":0.313262514760385,"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."}}