{"id":"W4254168204","doi":"10.1021/acssensors.0c00660","title":"Remembering NJ","year":2020,"lang":"en","type":"article","venue":"ACS Sensors","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00001328068,0.00005178925,0.00004520688,0.000001172939,0.00001906056,0.000005730518,0.00007952478,0.00002512297,0.001335316],"category_scores_gemma":[0.00003912736,0.00005206511,0.00001863375,0.00007688173,0.00002203173,0.00004007537,0.00007441662,0.00007174151,0.0005548152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001914594,"about_ca_system_score_gemma":6.067266e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004198841,"about_ca_topic_score_gemma":2.861271e-7,"domain_scores_codex":[0.9996289,0.000001678682,0.00005652714,0.0001208272,0.00008214078,0.0001098999],"domain_scores_gemma":[0.9998161,0.000009981128,0.000009143091,0.00007103918,7.580855e-7,0.00009293995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002224393,0.000003240244,0.00108709,0.000006586721,0.000001890788,0.000008760499,0.0001452848,0.01149539,0.9846515,0.000006372832,0.002190453,0.0004012151],"study_design_scores_gemma":[0.00007241827,0.000004613243,0.000499005,0.000002924107,0.000002884236,0.00000447476,0.00003301899,0.003953875,0.957052,0.00001998417,0.03825048,0.0001043305],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539392,0.000005580629,0.00004541371,0.0005096828,0.00001482608,0.0000149298,4.717839e-7,0.00006792801,0.04540199],"genre_scores_gemma":[0.999006,0.000003427254,0.0003176633,0.0002816572,0.00005810581,7.645569e-7,0.000001025277,0.000006475721,0.0003248211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04507717,"threshold_uncertainty_score":0.9995776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00944354524744073,"score_gpt":0.1780752991777063,"score_spread":0.1686317539302655,"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."}}