{"id":"W6980244125","doi":"","title":"Bioremediation of petroleum hydrocarbons: multi-scale investigation of effects of pore size and role of diurnal temperature changes","year":2014,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bioremediation; Biodegradation; Environmental remediation; Petroleum; Soil water; Moisture; Hydrocarbon; Soil contamination; Biostimulation","routes":{"ca_aff":false,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001839669,0.0004153983,0.0008332629,0.0007522693,0.0001550663,0.0001094692,0.001524343,0.0004418001,0.000002763091],"category_scores_gemma":[0.003305146,0.0004070943,0.0001468177,0.0007857585,0.0001622416,0.004898936,0.0004085746,0.0006988577,0.000001197831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008109998,"about_ca_system_score_gemma":0.00006946373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002872736,"about_ca_topic_score_gemma":0.0006366253,"domain_scores_codex":[0.995857,0.0007152818,0.0009356737,0.0007712931,0.001370632,0.0003501238],"domain_scores_gemma":[0.9947436,0.0010756,0.002413201,0.001062898,0.0005144562,0.0001901731],"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":[0.00009798268,0.0001675423,0.0006930532,0.003857814,0.0001852134,0.000004651917,0.00006216175,0.00001516361,0.9616994,0.02229327,9.038048e-7,0.0109229],"study_design_scores_gemma":[0.001058442,0.0005717154,0.03342742,0.001368874,0.0001646343,0.00000303829,0.0001846949,0.0008813809,0.9585615,0.003168256,0.0002645383,0.0003455207],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996759,0.0008954923,0.00001279963,0.00003992539,0.0003136934,0.0007102736,0.0001936594,0.0000411127,0.001034076],"genre_scores_gemma":[0.9917501,0.001271753,0.006176186,0.00002461082,0.00002234785,0.00005706697,0.0003515698,0.00004495652,0.0003013743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03273436,"threshold_uncertainty_score":0.9998381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01516775603956226,"score_gpt":0.2559871917658314,"score_spread":0.2408194357262691,"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."}}