{"id":"W7067855445","doi":"","title":"New Rochelle Coal and Lumber Co.","year":2018,"lang":"en","type":"article","venue":"Digital WPI","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coal; Coal mining; Quarter (Canadian coin); Mile","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001248855,0.00007175146,0.00009879655,0.0001166974,0.0001273831,0.001015536,0.0002362254,0.00003296423,0.002402888],"category_scores_gemma":[0.001357688,0.00005160904,0.00003706935,0.0003545732,0.0001229934,0.0005716345,0.00005781794,0.00003220015,0.003599967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001304802,"about_ca_system_score_gemma":0.00007514837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009132787,"about_ca_topic_score_gemma":0.00002596889,"domain_scores_codex":[0.9979738,0.00002540206,0.0002358606,0.0003248362,0.0012861,0.0001539945],"domain_scores_gemma":[0.9990972,0.0001638311,0.00007047083,0.000265928,0.0002633264,0.0001392126],"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":[0.00003118,0.00002085733,0.04237298,6.723766e-7,0.000007267054,9.918112e-7,0.0007561647,0.000001795249,0.0007830928,0.001105096,0.6922688,0.2626511],"study_design_scores_gemma":[0.0006855334,0.0001310121,0.03628231,0.000009363843,0.000007115334,0.000007212114,0.0006697002,0.001689148,0.004033776,0.06041246,0.8958616,0.0002107215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.491401,0.00005824464,0.007503176,0.0005574968,0.0007885704,0.0001289471,0.00001158526,0.00003526363,0.4995158],"genre_scores_gemma":[0.9097704,4.801336e-7,0.0001658039,0.0001353477,0.0002211261,9.558782e-7,0.000007658289,0.000003569644,0.08969465],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4183694,"threshold_uncertainty_score":0.998509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2347502272927781,"score_gpt":0.4268594166834502,"score_spread":0.1921091893906721,"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."}}