{"id":"W5877552","doi":"","title":"Chapter 6. Crushers","year":2006,"lang":"en","type":"article","venue":"Applied therapeutics","topic":"Coal and Coke Industries Research","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Crusher; Computer science; Engineering; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005599901,0.000111169,0.00009585221,0.00004195606,0.00009084513,0.00004097966,0.000172397,0.00009383428,0.001089441],"category_scores_gemma":[6.429196e-7,0.00009563089,0.00004118475,0.0001284237,0.00007942921,0.0000238838,0.00004447147,0.0001686834,0.0006368377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000259323,"about_ca_system_score_gemma":0.00001477876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004553634,"about_ca_topic_score_gemma":0.0001208274,"domain_scores_codex":[0.9991907,0.000008207294,0.000132248,0.0001608649,0.0002217295,0.0002862839],"domain_scores_gemma":[0.999638,0.00003727659,0.00002345049,0.0002369949,0.00002769261,0.00003664677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003795952,0.00004061899,0.0001600647,0.000001858851,0.00002819983,0.000003905474,0.00004143057,0.0001861418,0.01496535,0.7353933,0.0003625044,0.2487786],"study_design_scores_gemma":[0.000300605,0.00002014184,0.000859323,0.000001485869,0.00001002262,0.000001867674,0.00006955269,0.0001011115,0.01901107,0.03288466,0.9465919,0.0001482952],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1189785,0.000151353,0.0001830629,0.0007861661,0.00007880298,0.000108641,0.000002137343,0.0001350922,0.8795763],"genre_scores_gemma":[0.989871,0.00002205568,0.00008267158,0.0006885735,0.0002444053,0.00002130312,0.000008670317,0.0000255403,0.009035825],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9462293,"threshold_uncertainty_score":0.9998237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03442562760228646,"score_gpt":0.2535779553243364,"score_spread":0.2191523277220499,"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."}}