{"id":"W3043661746","doi":"","title":"Developments in Thermal Coal Markets | Bulletin – June Quarter 2015","year":2015,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Coal and Coke Industries Research","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Library science; Geography; Computer science; Archaeology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009663237,0.0003433144,0.0004887931,0.0003131269,0.00006900404,0.00004946196,0.0006124608,0.0002531064,0.005865117],"category_scores_gemma":[0.0002254101,0.0003205053,0.0001118946,0.0003604651,0.0001950458,0.000064105,0.0003681737,0.0005368731,0.004355044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001461448,"about_ca_system_score_gemma":0.0002335583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009464821,"about_ca_topic_score_gemma":0.0002803889,"domain_scores_codex":[0.9967221,0.0002824213,0.000770429,0.0005034588,0.0009174891,0.0008041093],"domain_scores_gemma":[0.9985637,0.0001686404,0.0001574625,0.0004919095,0.0002427468,0.0003755138],"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":[0.0009344234,0.0003912826,0.001318968,0.00003117419,0.00006082208,0.0001078959,0.0007144152,0.00031114,0.0009157434,0.0003428506,0.9943488,0.0005224954],"study_design_scores_gemma":[0.002107075,0.0001337144,0.007076329,0.00008186271,0.00000868094,0.00001887767,0.0004199951,0.00004007195,0.002229795,0.00007303451,0.9874386,0.000372003],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07518306,0.0004770147,0.00001869085,0.8197106,0.0009988365,0.0006504672,0.00003079305,0.0001887023,0.1027418],"genre_scores_gemma":[0.9951636,0.000027191,0.0002749585,0.0004407934,0.0002288177,0.00007677564,0.00005096311,0.00005366563,0.003683202],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9199806,"threshold_uncertainty_score":0.9999247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03732951028726249,"score_gpt":0.2700096609970098,"score_spread":0.2326801507097473,"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."}}