{"id":"W2222331141","doi":"","title":"An Integrated Approach to On Sitelin Situ Upgrading","year":2008,"lang":"en","type":"article","venue":"19th World Petroleum Congress","topic":"Cell Adhesion Molecules Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Environmental science; Computer science","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":[0.0005995273,0.000568499,0.0006551826,0.0008542113,0.0005954541,0.001322762,0.001121032,0.0007393503,0.005666444],"category_scores_gemma":[0.000403455,0.0003118353,0.0004855664,0.0006811916,0.0003358846,0.00118545,0.001984768,0.0007981734,0.001165609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006424733,"about_ca_system_score_gemma":0.0009578554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002017365,"about_ca_topic_score_gemma":0.005948246,"domain_scores_codex":[0.999238,0.00005348616,0.00002714484,0.0001519427,0.0004373089,0.00009218148],"domain_scores_gemma":[0.9996449,0.00003393441,0.00002623962,0.0001361217,0.0001310399,0.00002772944],"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":[0.0001325995,0.000221548,0.002240789,0.000151411,0.00002900421,0.00009888237,0.0002578823,0.004817736,0.7866108,0.002838261,0.001314333,0.2012868],"study_design_scores_gemma":[0.00003370548,0.0007094538,0.005788985,0.00002803638,0.00008282715,0.0003654139,0.0005705775,0.03357542,0.8987375,0.00226491,0.05778882,0.00005437732],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2866167,0.000678602,0.6610355,0.0004324071,0.0004686256,0.0006420839,0.0005280721,0.005509831,0.04408815],"genre_scores_gemma":[0.58999,0.0005709038,0.3767271,0.0002076443,0.00004621618,0.0002939427,0.0006293782,0.0003851482,0.03114962],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005666444,"threshold_uncertainty_score":0.01895612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03715596617427688,"score_gpt":0.3102364880484919,"score_spread":0.273080521874215,"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."}}