{"id":"W3041530782","doi":"","title":"Abstract for Electronic Indicators of Economic Activity | Bulletin – June Quarter 2012","year":2012,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Socioeconomic and Demographic Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Medicine; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000655756,0.0009402458,0.0006137412,0.006926918,0.0007691885,0.002333056,0.0008090194,0.000660789,0.5475868],"category_scores_gemma":[0.004844051,0.0004179494,0.0004378373,0.006528135,0.000184948,0.002090392,0.0008800947,0.001181014,0.3315307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000861471,"about_ca_system_score_gemma":0.001308829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02016116,"about_ca_topic_score_gemma":0.02813707,"domain_scores_codex":[0.9994175,0.00005474684,0.00006549003,0.00004966469,0.0003329403,0.00007952123],"domain_scores_gemma":[0.9953079,0.0008216181,0.000390391,0.0003691977,0.002681242,0.0004297231],"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":[0.00003303213,0.00003785362,0.001025978,0.00005772334,0.000002855776,0.000005436558,0.000007441482,0.00002568045,0.00004089616,0.0002053187,0.9810293,0.01752843],"study_design_scores_gemma":[0.00004447802,0.0000393766,0.04257201,0.0001441599,0.00001146595,0.00003197588,0.00007266507,0.0002009873,0.0004577552,0.0003205149,0.9560868,0.00001786429],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.005724284,0.001095247,0.001607033,0.003561576,0.004725585,0.0005702198,0.5515104,0.003589978,0.4276157],"genre_scores_gemma":[0.01001583,0.00101069,0.001640414,0.0005475987,0.001101474,0.000495549,0.2299331,0.0006950304,0.7545604],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5475868,"threshold_uncertainty_score":0.6453125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007390275365416176,"score_gpt":0.228528323959556,"score_spread":0.2211380485941398,"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."}}