{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008157654,0.001083248,0.0009560228,0.002168195,0.003793753,0.009274263,0.001552199,0.00336917,0.7292573],"category_scores_gemma":[0.006662077,0.0004582185,0.0007550368,0.002028366,0.00091756,0.004258682,0.003312383,0.003435902,0.6031137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001622349,"about_ca_system_score_gemma":0.002328459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005702153,"about_ca_topic_score_gemma":0.01150941,"domain_scores_codex":[0.998666,0.0001276018,0.0001008813,0.0001904289,0.0006620287,0.0002530614],"domain_scores_gemma":[0.9968061,0.0003428163,0.0001501692,0.0004295953,0.001418938,0.0008522865],"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":[0.000009579075,0.000006442271,0.00006067236,0.00003004511,0.000001003446,0.00003866115,0.00004333743,0.00000431,0.00006276233,0.001065144,0.9842502,0.01442787],"study_design_scores_gemma":[0.000001170585,0.000002577279,0.00005681414,0.00002465006,6.846547e-7,0.00002619585,0.00004557036,0.000004228973,0.00003179844,0.0001434004,0.9996606,0.000002349716],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0007696578,0.003597315,0.0006614143,0.02521032,0.1345075,0.0001282697,0.002372422,0.001916092,0.8308371],"genre_scores_gemma":[0.001349472,0.0009838573,0.0001950903,0.003664797,0.005810136,0.00003109294,0.0006610633,0.0003877236,0.9869168],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7292573,"threshold_uncertainty_score":0.3861815,"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."}}