{"id":"W2560464340","doi":"10.1039/c6ay03186b","title":"Assessing the feasibility of electrophoretic separation of CaCO<sub>3</sub>polymorphs for archaeological applications","year":2016,"lang":"en","type":"article","venue":"Analytical Methods","topic":"Calcium Carbonate Crystallization and Inhibition","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Hebrew University of Jerusalem","keywords":"Electrophoresis; Separation (statistics); Separation method; Archaeology; Materials science; Chemistry; Nanotechnology; Chromatography; Computer science; Geography; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001593252,0.0004414528,0.000249195,0.0002977247,0.0007745956,0.001096937,0.0005963799,0.0009213506,0.001968763],"category_scores_gemma":[0.003282364,0.0003272229,0.0002918669,0.0003000308,0.0009960505,0.0008085026,0.0004883196,0.0009298725,0.0006849692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003593102,"about_ca_system_score_gemma":0.0006514098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001498199,"about_ca_topic_score_gemma":0.00384713,"domain_scores_codex":[0.999332,0.0001371085,0.00003164935,0.0001294999,0.0002939795,0.00007565542],"domain_scores_gemma":[0.9989236,0.0006017242,0.00007548039,0.0001164843,0.0002364175,0.00004630881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006659452,0.00001747606,0.0006855036,0.00008788046,0.000008466042,0.00003407585,0.0000595688,0.0001297287,0.9948538,0.0006105363,0.00006529925,0.003381054],"study_design_scores_gemma":[0.000006563879,0.00009664906,0.001736587,0.000007520718,0.00001627786,0.0001213042,0.00007813887,0.0009022711,0.9928605,0.0003464146,0.003818768,0.000008990996],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8275437,0.003306377,0.1517473,0.001095329,0.0002130908,0.0004169896,0.000748487,0.0003837977,0.01454491],"genre_scores_gemma":[0.8388641,0.001884086,0.1542466,0.0002340929,0.0000323085,0.0002034828,0.0003453297,0.0001561746,0.00403383],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001968763,"threshold_uncertainty_score":0.008426011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08531811711053243,"score_gpt":0.4425356010477739,"score_spread":0.3572174839372415,"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."}}