{"id":"W4234411558","doi":"10.1515/iupac.83.0096","title":"G-Value","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; Photocatalysis; Chemical nomenclature; 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":[],"consensus_categories":[],"category_scores_codex":[0.001545762,0.0024577,0.001641085,0.006140349,0.001248474,0.003867269,0.003081301,0.002092755,0.2000253],"category_scores_gemma":[0.01926468,0.0005995816,0.002707789,0.008180606,0.000585557,0.003051007,0.002246941,0.002677698,0.2320936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001642471,"about_ca_system_score_gemma":0.002802535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01179156,"about_ca_topic_score_gemma":0.01917706,"domain_scores_codex":[0.9977505,0.0003216284,0.0002701954,0.0009263678,0.0004499875,0.0002813158],"domain_scores_gemma":[0.9948296,0.002290552,0.0003406782,0.001129039,0.001169551,0.0002405194],"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":[0.0001455006,0.00003706218,0.002965506,0.001021121,0.00007822066,0.00003393041,0.00002494196,0.0004799484,0.0001229167,0.000859747,0.9848137,0.009417442],"study_design_scores_gemma":[0.0003225481,0.00005565471,0.007484718,0.0006754033,0.0001001369,0.0001816965,0.0001767885,0.001123156,0.0004351198,0.006768031,0.9826157,0.000061084],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003106454,0.0001663929,0.0002141058,0.0001660917,0.00008300917,0.00003178913,0.9963886,0.0007652371,0.001874143],"genre_scores_gemma":[0.001208214,0.0001633786,0.0009167827,0.0001486271,0.00003293295,0.0001928082,0.9948837,0.0002674891,0.002185981],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2000253,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01575284709808119,"score_gpt":0.4283084760940789,"score_spread":0.4125556289959977,"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."}}