{"id":"W4405411303","doi":"","title":"An industrial mineral for the next millenium","year":2001,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mineral; Mining engineering; Engineering; Metallurgy; 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":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005885133,0.0002131306,0.0003374545,0.0002864245,0.0002583827,0.001336496,0.001404532,0.000129445,0.006538632],"category_scores_gemma":[0.0001554649,0.0001649695,0.000122606,0.0005563583,0.00005000939,0.002985863,0.00007355784,0.0003314376,0.00001445877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004546926,"about_ca_system_score_gemma":0.00006559636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001228028,"about_ca_topic_score_gemma":0.00008884967,"domain_scores_codex":[0.9985875,0.00006155753,0.0005537844,0.0002026958,0.0003204277,0.0002739883],"domain_scores_gemma":[0.9987652,0.0003363288,0.0002093495,0.000305794,0.0002129799,0.0001703918],"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":[0.0004674151,0.0002435734,0.03930118,0.00007490858,0.0003198015,0.00001282285,0.0003580438,0.03496558,0.2072991,0.0003063598,0.6509421,0.06570907],"study_design_scores_gemma":[0.001221137,0.00002046849,0.04126639,0.0000876651,0.00009579673,0.00003439607,0.0003061634,0.0135567,0.022034,0.001238669,0.9196383,0.0005002553],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9250681,0.03031133,0.01420399,0.0008650736,0.004617451,0.001378004,0.00006791569,0.0002894156,0.02319874],"genre_scores_gemma":[0.9862407,0.01086587,0.0001575256,0.0002955978,0.000939551,0.000090586,0.00001799933,0.00005390769,0.001338243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2686962,"threshold_uncertainty_score":0.9997002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4305319627207587,"score_gpt":0.5531015563313917,"score_spread":0.122569593610633,"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."}}