{"id":"W2620699393","doi":"10.2113/gselements.13.3.159","title":"Mineral Surface Coatings: Environmental Records at the Nanoscale","year":2017,"lang":"en","type":"article","venue":"Elements","topic":"Building materials and conservation","field":"Earth and Planetary Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Citation; Icon; Download; Library science; Archaeology; History; World Wide Web; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001962296,0.00005835363,0.00005085304,0.000003597989,0.0006984607,0.0001170387,0.0002084838,0.00001961728,0.005076825],"category_scores_gemma":[0.00001185846,0.00003863773,0.00001793863,0.000007162419,0.00005059793,0.0001262476,0.00003152915,0.00002694686,0.0004100959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000451665,"about_ca_system_score_gemma":0.000004786414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00145298,"about_ca_topic_score_gemma":0.002039322,"domain_scores_codex":[0.9994903,0.00002513317,0.0001055124,0.0001124329,0.000130314,0.0001363043],"domain_scores_gemma":[0.99964,0.00001452972,0.0001024688,0.0002130384,0.000002564753,0.00002734159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001132776,0.000003973762,0.9826947,0.000001347028,0.0000037755,0.000001148496,0.0000371916,0.00001670953,0.005830825,0.000001598166,0.005072398,0.006325004],"study_design_scores_gemma":[0.0001618756,0.00003124725,0.9569463,0.000004191046,0.000004475805,0.00000188314,0.00003572334,0.0004436156,0.002961407,0.00005346408,0.03929388,0.00006195004],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958598,0.00005482827,0.000001452565,0.0006614772,0.0005348333,0.00008207609,0.00008543126,0.000008312917,0.0027118],"genre_scores_gemma":[0.9928106,0.00002227848,0.0001925874,0.000217223,0.0000742489,5.736047e-7,0.00008462114,0.000001739676,0.00659615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03422149,"threshold_uncertainty_score":0.9958327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01644196764720977,"score_gpt":0.2167998367172194,"score_spread":0.2003578690700096,"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."}}