{"id":"W2901639492","doi":"10.7939/r3dj58n57","title":"Influence of Amendments and Soil Depth on Available Nutrients and Microbial Dynamics in Contrasting Topsoil Materials Used for Oil Sands Reclamation","year":2015,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Land reclamation; Topsoil; Environmental science; Nutrient; Oil sands; Soil nutrients; Soil water; Agronomy; Soil science; Ecology; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005123639,0.00006258425,0.000156767,0.0001185673,0.00002050359,0.00001196319,0.00005683057,0.00005201905,0.00001055477],"category_scores_gemma":[0.00001896603,0.00007130816,0.00001412817,0.00009785306,0.00003183992,0.000410354,0.00002880338,0.00002843357,0.000001140022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002536327,"about_ca_system_score_gemma":0.00001821606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003561181,"about_ca_topic_score_gemma":0.0005190182,"domain_scores_codex":[0.9996414,0.00001969564,0.0001201512,0.00008801027,0.00005466393,0.0000760667],"domain_scores_gemma":[0.9997703,0.00005567169,0.00005111633,0.00006115338,0.00001526733,0.00004647674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002939723,0.0006162606,0.3064738,0.003246003,0.0007935396,0.00002249353,0.04841131,0.3733542,0.2531643,0.002440754,0.005665063,0.002872536],"study_design_scores_gemma":[0.01568087,0.0004652852,0.006573176,0.001024983,0.000187492,0.00000353743,0.006995152,0.6100762,0.3559772,0.0004304117,0.001770719,0.0008149378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980698,0.00001641138,0.0000471515,0.00006631691,0.00001937271,0.00005090451,0.00001315703,0.00001247696,0.001704466],"genre_scores_gemma":[0.9989457,0.00008823486,0.0002566313,0.00001036,0.00000486034,2.450836e-7,0.00006458471,0.000006772043,0.0006226414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2999007,"threshold_uncertainty_score":0.2907862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009971699878220304,"score_gpt":0.1789500378784785,"score_spread":0.1689783380002582,"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."}}