{"id":"W2508237303","doi":"","title":"IM 2012 Round-ups: Potash","year":2013,"lang":"de","type":"article","venue":"Industrial Minerals","topic":"Coal and Coke Industries Research","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Potash; Metallurgy; Potassium; Materials science","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","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.0006798537,0.0008323821,0.001020799,0.0004081184,0.0004647432,0.001188574,0.001252319,0.00198282,0.07941324],"category_scores_gemma":[0.001011897,0.0007598207,0.0004549128,0.001280033,0.0004540704,0.001176027,0.0007253143,0.002414028,0.04292454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004213335,"about_ca_system_score_gemma":0.0007559519,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03968206,"about_ca_topic_score_gemma":0.0004189512,"domain_scores_codex":[0.9934695,0.0007118832,0.001364941,0.001012803,0.00130732,0.002133556],"domain_scores_gemma":[0.9961577,0.0006597418,0.0003405671,0.001249518,0.0005515959,0.001040867],"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":[0.0001461904,0.0002720077,0.0008062309,0.00001443166,0.0003616763,0.00007564476,0.0001164486,0.0001180603,0.003553618,0.001879959,0.7801538,0.2125019],"study_design_scores_gemma":[0.003096671,0.0004906168,0.000275195,0.0001742013,0.0001461808,0.00001752554,0.0003117218,0.0002916542,0.001359549,0.001368098,0.9915479,0.0009206842],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5524174,0.01430949,0.00003521886,0.04563611,0.01978454,0.003753041,0.0005325518,0.0005022761,0.3630294],"genre_scores_gemma":[0.278994,0.0005476482,0.00004668449,0.0008271455,0.03123965,0.0003755811,0.0002619547,0.0001676393,0.6875397],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3245103,"threshold_uncertainty_score":0.9998875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08585015189517797,"score_gpt":0.2883208777067837,"score_spread":0.2024707258116057,"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."}}