{"id":"W4239240095","doi":"10.1515/iupac.83.0309","title":"TON","year":2016,"lang":"fr","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","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":[0.001186342,0.002417731,0.001408265,0.004407989,0.001195991,0.00374735,0.0024651,0.001685393,0.1932691],"category_scores_gemma":[0.007625268,0.0005556973,0.001909407,0.006320465,0.0003915949,0.003107049,0.002640845,0.001954526,0.3280139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001671322,"about_ca_system_score_gemma":0.002302895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01756433,"about_ca_topic_score_gemma":0.02863059,"domain_scores_codex":[0.9977973,0.0003265342,0.000305406,0.0007661619,0.0005088961,0.0002957669],"domain_scores_gemma":[0.997118,0.0005527625,0.0002561808,0.0008092831,0.001043559,0.0002203002],"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":[0.0001011241,0.00002416782,0.001046573,0.0006606652,0.00002305885,0.00002222202,0.00002573962,0.000150678,0.0001310637,0.0008118308,0.9889107,0.00809217],"study_design_scores_gemma":[0.0000904566,0.00001917719,0.002425521,0.0003171901,0.00001780469,0.00005969086,0.00009591863,0.0002583786,0.0002306799,0.001146689,0.9953171,0.00002151259],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001886371,0.0001288831,0.0001430111,0.0001083153,0.00006560067,0.00003246104,0.9955716,0.0006286375,0.003132835],"genre_scores_gemma":[0.0003872401,0.00009647528,0.0003661564,0.0001008607,0.00001606026,0.000111131,0.996333,0.0001143888,0.002474726],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8067309,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0172281698872945,"score_gpt":0.422764269411349,"score_spread":0.4055360995240545,"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."}}