{"id":"W2248757238","doi":"10.5962/bhl.title.102055","title":"Refinement study of dry deposition inference methods used in Alberta /","year":2007,"lang":"en","type":"book","venue":"","topic":"Ion-surface interactions and analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inference; Deposition (geology); Computer science; Environmental science; Artificial intelligence; Geology; Geomorphology","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":[0.008741127,0.000932241,0.0007290144,0.001317444,0.001180164,0.001751186,0.002697429,0.0008318623,0.007337743],"category_scores_gemma":[0.02972665,0.0006281841,0.0006604113,0.001501495,0.0008502866,0.001786925,0.0009614016,0.001478159,0.00115078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005740372,"about_ca_system_score_gemma":0.006147335,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.416012,"about_ca_topic_score_gemma":0.391187,"domain_scores_codex":[0.9976394,0.0007085385,0.0001443569,0.0005239423,0.0008069534,0.0001768465],"domain_scores_gemma":[0.9870939,0.00716062,0.000405776,0.001270641,0.00388098,0.0001881746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001112342,0.0002273843,0.02827031,0.0003880397,0.0003469502,0.0003682524,0.0003231742,0.4952022,0.007723269,0.04105366,0.02191941,0.403065],"study_design_scores_gemma":[0.000105157,0.00006632593,0.007079355,0.00005436677,0.00006477448,0.00009829587,0.000125923,0.9660653,0.007448568,0.01036989,0.00849538,0.00002663913],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2495075,0.003719368,0.6987544,0.00209716,0.0004947905,0.0003801825,0.004252396,0.008760896,0.03203329],"genre_scores_gemma":[0.4225678,0.0007465748,0.5518026,0.0004732326,0.0000768321,0.0001008337,0.006722448,0.001236075,0.01627365],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.583988,"threshold_uncertainty_score":0.8271811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02166349401279451,"score_gpt":0.3344832863874717,"score_spread":0.3128197923746772,"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."}}