{"id":"W4246099041","doi":"10.1515/iupac.83.0153","title":"Photoadsorption Photonic Yield","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Photonic and Optical Devices","field":"Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.001007322,0.002019395,0.001511927,0.004438061,0.0008772158,0.003165341,0.002110356,0.001302871,0.05093068],"category_scores_gemma":[0.005594472,0.0005283796,0.002045807,0.007021214,0.0002937717,0.001954423,0.001750999,0.001971732,0.08019264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001720499,"about_ca_system_score_gemma":0.001796742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01515807,"about_ca_topic_score_gemma":0.019452,"domain_scores_codex":[0.9983998,0.0001581589,0.0001937001,0.0005553956,0.0005124694,0.0001804874],"domain_scores_gemma":[0.9979457,0.0005146376,0.0002769838,0.0004748181,0.0006989373,0.0000889815],"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":[0.0002230951,0.00006619542,0.004409257,0.002840793,0.0001405809,0.00004077101,0.00004243296,0.0009221443,0.0007619864,0.001410159,0.9733487,0.01579393],"study_design_scores_gemma":[0.0002401261,0.00004042065,0.01524267,0.0004928861,0.0001006919,0.0001172735,0.0001030205,0.000818851,0.001881764,0.002577676,0.9783318,0.00005288818],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003874481,0.0001997769,0.0001044123,0.00004213811,0.00002272784,0.00001327916,0.99764,0.0002605408,0.001329628],"genre_scores_gemma":[0.001018562,0.000191413,0.0003427282,0.00004500437,0.00001041846,0.00009476408,0.9968807,0.00005709212,0.001359444],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05093068,"threshold_uncertainty_score":0.1703801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01238727608548858,"score_gpt":0.3304869161084908,"score_spread":0.3180996400230023,"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."}}