{"id":"W4229588177","doi":"10.1515/iupac.85.0466","title":"Forward Library Search","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; National Research Council Canada","funders":"","keywords":"Chemical nomenclature; Terminology; Mass spectrometry; Chemistry; Standardization; Information retrieval; Analytical Chemistry (journal); Computer science; Environmental chemistry; Chromatography; Linguistics; Organic chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001720479,0.002236178,0.002399161,0.01532737,0.00148513,0.005078145,0.003116421,0.002099005,0.2965198],"category_scores_gemma":[0.02347095,0.0006450754,0.001964135,0.02109791,0.000480992,0.004028931,0.003019666,0.001781184,0.3791756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003093051,"about_ca_system_score_gemma":0.007268852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02378628,"about_ca_topic_score_gemma":0.04523547,"domain_scores_codex":[0.9966457,0.0005834196,0.0007309515,0.0008373758,0.0008324693,0.0003700153],"domain_scores_gemma":[0.9924814,0.002459193,0.0006756767,0.001405932,0.00255371,0.0004242266],"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":[0.0000632671,0.00001606982,0.000475263,0.002102589,0.00003568671,0.00002898729,0.00003242712,0.0001067549,0.00006015873,0.0006932765,0.9868946,0.009490926],"study_design_scores_gemma":[0.0001078808,0.00001734719,0.001097723,0.0009567486,0.00004032847,0.00007500605,0.0001198552,0.0002477326,0.0002253531,0.001569065,0.9955186,0.0000242736],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000106094,0.0003851009,0.0001615798,0.0001412387,0.000034573,0.00004701501,0.9943441,0.0007307268,0.004049606],"genre_scores_gemma":[0.0004687149,0.000502868,0.0006633725,0.0001564111,0.0000186921,0.0002298217,0.9936872,0.0002200466,0.004052907],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7034802,"threshold_uncertainty_score":0.9919574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01951267440733798,"score_gpt":0.3882767175633903,"score_spread":0.3687640431560523,"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."}}