{"id":"W4393736003","doi":"10.5281/zenodo.4311813","title":"data","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Chemistry and Stereochemistry Studies","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer 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","sts","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002379401,0.0003486058,0.0003482809,0.00004655178,0.00177116,0.000779056,0.004795921,0.0002587277,0.06019397],"category_scores_gemma":[0.001530899,0.000388953,0.00007871388,0.0002470703,0.0002220468,0.0001407446,0.008819772,0.0009106316,0.0177036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001239238,"about_ca_system_score_gemma":0.000007344236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001049074,"about_ca_topic_score_gemma":2.47449e-7,"domain_scores_codex":[0.9976174,0.00005848484,0.0003733775,0.001031075,0.0004945028,0.0004251133],"domain_scores_gemma":[0.9969422,0.00003717022,0.0002221532,0.002258951,0.0002768038,0.0002626927],"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":[0.00004706082,0.00009390669,5.69709e-8,0.001056989,0.0001582195,0.000068582,0.00004516498,6.230063e-7,0.003823367,0.000004900131,0.989669,0.005032168],"study_design_scores_gemma":[0.000318235,0.000023207,6.112692e-7,0.00009739802,0.00008273002,0.0001370094,0.0001359251,0.00001895413,0.001589439,0.00001491166,0.9971973,0.0003843118],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002124655,0.0001570028,0.00001379507,0.0003979414,0.00006237067,0.00008102016,0.9191448,0.0005588664,0.07956293],"genre_scores_gemma":[0.0002284811,0.0004783399,0.00002928215,0.0001193568,0.0008756648,2.66865e-8,0.9958008,0.0009973793,0.001470691],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07809224,"threshold_uncertainty_score":0.9998562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08539846935912312,"score_gpt":0.2768224386078577,"score_spread":0.1914239692487345,"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."}}