{"id":"W2033761944","doi":"10.1007/s10933-013-9697-7","title":"‘Diatoms and pH reconstruction’ (1990) revisited","year":2013,"lang":"en","type":"article","venue":"Journal of Paleolimnology","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Calibration; Mathematics; Statistics; Monotonic function; Mean squared error; Cross-validation; Gaussian; Inverse; Regression; Applied mathematics; Algorithm; Computer science; Chemistry; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":false,"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":[0.006223808,0.0006055514,0.0008763277,0.000894273,0.0006113115,0.002003245,0.002072742,0.003421762,0.00303438],"category_scores_gemma":[0.0204365,0.0006877413,0.0005516935,0.001329885,0.003574837,0.006270434,0.001780084,0.003595068,0.000816537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00137468,"about_ca_system_score_gemma":0.0008198399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01133774,"about_ca_topic_score_gemma":0.008077106,"domain_scores_codex":[0.9992245,0.0002837824,0.00005223081,0.0002976772,0.00009595682,0.00004577955],"domain_scores_gemma":[0.9971456,0.001845985,0.0002105299,0.0003139772,0.0003849751,0.00009895713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004836562,0.00003775221,0.01782335,0.0006033802,0.0003250462,0.0006980321,0.0007686629,0.02720104,0.005650632,0.6280026,0.02003963,0.2983662],"study_design_scores_gemma":[0.0001842651,0.0001093203,0.02937561,0.0003922301,0.0001959794,0.001486614,0.0006603165,0.1414911,0.007096138,0.6723918,0.1464103,0.0002061368],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2342577,0.06984118,0.4493125,0.1606737,0.01467,0.0000927677,0.001338581,0.0009334413,0.06888009],"genre_scores_gemma":[0.8805465,0.01441817,0.07532989,0.007983882,0.005226382,0.00003322847,0.0002011974,0.0003436562,0.015917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01133774,"threshold_uncertainty_score":0.03291506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00742723000552977,"score_gpt":0.2121839249900301,"score_spread":0.2047566949845003,"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."}}