{"id":"W7109093980","doi":"10.14288/1.0450889","title":"Polymer solutions for remote and extreme locations","year":2025,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Polymer-Based Agricultural Enhancements","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Haulage; Water quality; Flocculation; Pollution; Erosion control; Stormwater; Erosion; Water pollution","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004255404,0.00103447,0.0003716488,0.0007874768,0.00058138,0.0008429712,0.0005302429,0.001453306,0.02626007],"category_scores_gemma":[0.0006107722,0.0003954395,0.0003796364,0.0004316931,0.0003187988,0.001070518,0.0009227972,0.001999739,0.01820513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000414517,"about_ca_system_score_gemma":0.0005519734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000360961,"about_ca_topic_score_gemma":0.0007873635,"domain_scores_codex":[0.9995961,0.00005478064,0.00003247887,0.00009233402,0.0001790975,0.00004522208],"domain_scores_gemma":[0.9997486,0.00004177703,0.00007207561,0.00002741281,0.00007107948,0.00003900722],"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":[0.0001115773,0.0002042065,0.0002471824,0.00217654,0.00003672372,0.0007166335,0.0001350582,0.001037742,0.640503,0.01638952,0.03316646,0.3052754],"study_design_scores_gemma":[0.00005361532,0.0005526055,0.0007010267,0.0003188357,0.00004080146,0.002162552,0.00006674851,0.0009485695,0.2555581,0.002826146,0.7367245,0.00004658131],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08955284,0.1732929,0.287437,0.01028157,0.01035806,0.002716515,0.002998103,0.007150868,0.4162121],"genre_scores_gemma":[0.2605039,0.1128888,0.1989219,0.006356635,0.001243766,0.002452862,0.00330953,0.0007561693,0.4135664],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02626007,"threshold_uncertainty_score":0.08784872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01122459462353725,"score_gpt":0.1710854392177191,"score_spread":0.1598608445941818,"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."}}