{"id":"W4253962077","doi":"10.1515/iupac.83.0127","title":"LVRPA","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Glossary; Chemical nomenclature; Photocatalysis; Compendium; Terminology; Chemistry; Nanotechnology; Catalysis; Materials science; Organic chemistry; Philosophy; History; Archaeology","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":[0.001414301,0.002076218,0.001497059,0.00554176,0.001076447,0.00371016,0.002793799,0.001755536,0.1765236],"category_scores_gemma":[0.01005426,0.0006564782,0.001947337,0.008743379,0.0004554294,0.003002878,0.002920697,0.002292264,0.2934407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001651366,"about_ca_system_score_gemma":0.002851593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01426286,"about_ca_topic_score_gemma":0.02423259,"domain_scores_codex":[0.9977915,0.0004094437,0.0003699884,0.0007107812,0.0004424036,0.0002757929],"domain_scores_gemma":[0.9964225,0.0009077474,0.0004091678,0.0009476457,0.001047139,0.0002656824],"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":[0.00007148541,0.00001896528,0.0007335011,0.0009882478,0.00002548412,0.00001742584,0.00002485201,0.0001645138,0.000120497,0.0008036324,0.9924541,0.004577257],"study_design_scores_gemma":[0.0001232115,0.0000204501,0.002183667,0.0004891884,0.00002219285,0.00005108113,0.00008562248,0.0002189109,0.0001857976,0.00129546,0.9953017,0.00002275982],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008373078,0.0000789945,0.00008924034,0.00006519163,0.00002629505,0.00001759547,0.9979512,0.0003758462,0.001312018],"genre_scores_gemma":[0.0001999611,0.00007378656,0.0002959938,0.00006302121,0.000008948245,0.0001057448,0.9980829,0.00009507836,0.001074477],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8234764,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01683562030970305,"score_gpt":0.4297166531888879,"score_spread":0.4128810328791849,"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."}}