{"id":"W4365147739","doi":"10.1515/iupac.94.0749","title":"Product-Determining Step","year":2023,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Various Chemistry Research Topics","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Terminology; Meaning (existential); Product (mathematics); Field (mathematics); Abandonment (legal); Computer science; Management science; Epistemology; Linguistics; Engineering; Philosophy; Mathematics; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006137398,0.0006951165,0.0008435815,0.0001628771,0.0002018453,0.0002017641,0.001338914,0.0006311866,0.004018709],"category_scores_gemma":[0.002971189,0.0006983242,0.0002553797,0.0003607564,0.0002005392,0.00008016887,0.0008164645,0.002049163,0.00005301817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008120854,"about_ca_system_score_gemma":0.001825902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003083275,"about_ca_topic_score_gemma":0.0007158891,"domain_scores_codex":[0.9947802,0.00003709809,0.0007033256,0.001137491,0.002308958,0.001032856],"domain_scores_gemma":[0.9963422,0.0001695692,0.000332905,0.002205102,0.0005809852,0.0003692419],"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":[0.00006191376,0.0001545019,0.00001858014,0.002032212,0.0001955418,0.0006909836,0.00001190005,0.00000336721,0.000769149,4.965107e-7,0.9918787,0.004182598],"study_design_scores_gemma":[0.0006625058,0.00004176165,0.000003904403,0.0005916047,0.000106559,0.00005940796,0.00005895995,0.00004962466,0.002101043,0.00002625276,0.9956225,0.0006759079],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004697636,0.0003340346,0.000004641329,0.0003751916,0.0004346682,0.0001567834,0.9973189,0.0004161368,0.0004898484],"genre_scores_gemma":[0.00001028114,0.0006013386,0.0001027316,0.00005127486,0.003124027,0.00005244284,0.9825264,0.0001508667,0.01338068],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01479257,"threshold_uncertainty_score":0.9995468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02895782447519627,"score_gpt":0.4263540375796192,"score_spread":0.3973962131044229,"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."}}