{"id":"W2060293610","doi":"10.2118/169773-ms","title":"Scale Inhibitor Residual Analysis: Twenty-first Century Approach","year":2014,"lang":"en","type":"article","venue":"","topic":"Calcium Carbonate Crystallization and Inhibition","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nalco (Canada)","funders":"","keywords":"Residual; Scale (ratio); Scale analysis (mathematics); Computer science; Algorithm; Geography","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":[0.005977346,0.001466658,0.001660677,0.003248998,0.001094151,0.004828684,0.003520582,0.002274895,0.003723394],"category_scores_gemma":[0.005306846,0.001066284,0.001016453,0.001369429,0.004585035,0.003237649,0.002946063,0.005003374,0.002252124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003817894,"about_ca_system_score_gemma":0.003909296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002801542,"about_ca_topic_score_gemma":0.003893907,"domain_scores_codex":[0.99625,0.0004651304,0.0001452909,0.0008901632,0.002026256,0.0002233121],"domain_scores_gemma":[0.9967234,0.0008937428,0.000232803,0.0006564347,0.001307221,0.0001864502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004947859,0.0008499239,0.002549148,0.002017806,0.000351385,0.000488362,0.0008919623,0.00281576,0.410162,0.1462778,0.013094,0.4200071],"study_design_scores_gemma":[0.00006010468,0.0006109406,0.001516952,0.00018358,0.0001443249,0.0008760296,0.0002528999,0.0111997,0.6205557,0.03445904,0.3299511,0.0001896839],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04288706,0.08904335,0.8136491,0.008833777,0.003266681,0.0006194565,0.0007546435,0.001843933,0.03910205],"genre_scores_gemma":[0.3190695,0.1016151,0.4761847,0.00563866,0.001878174,0.0007980845,0.00116,0.001210689,0.09244516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005977346,"threshold_uncertainty_score":0.03161162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00973447691609869,"score_gpt":0.2195337845934885,"score_spread":0.2097993076773899,"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."}}