{"id":"W4388368629","doi":"","title":"Achievements in Nanomineralogy","year":2017,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Nanotechnology research and applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"History","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005162567,0.0001716786,0.0003935256,0.0006196473,0.0002535932,0.0006637091,0.003746599,0.0001266496,0.00176957],"category_scores_gemma":[0.0001789022,0.0001683946,0.00006737152,0.0003074655,0.0001516609,0.001284052,0.0008202232,0.0004508985,0.00004915883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007348385,"about_ca_system_score_gemma":0.0000424657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004422456,"about_ca_topic_score_gemma":0.0002266955,"domain_scores_codex":[0.9986771,0.0000391118,0.0004319178,0.0002246749,0.0002331167,0.000394025],"domain_scores_gemma":[0.9987646,0.00007082245,0.0001912349,0.0007647647,0.00006731485,0.0001412138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002915651,0.0001189054,0.4856119,0.00004211144,0.00009180942,0.00003223005,0.00002462855,0.00041336,0.4592744,0.000386943,0.02549908,0.02847552],"study_design_scores_gemma":[0.0007370663,0.000005519393,0.8822716,0.0001332944,0.00001236715,0.00000640129,0.00001327059,0.0005695756,0.0847242,0.01132026,0.01991327,0.0002931605],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849376,0.003556221,0.0003860308,0.0003962046,0.00023398,0.0003746418,0.00002743437,0.00006132522,0.01002654],"genre_scores_gemma":[0.9935531,0.005606382,0.0002366321,0.00004315233,0.0000630459,0.0001013399,0.000005669619,0.00003368655,0.0003570186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3966597,"threshold_uncertainty_score":0.9991429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2506622531602266,"score_gpt":0.5733298102737052,"score_spread":0.3226675571134786,"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."}}