{"id":"W6969230375","doi":"10.5683/sp2/h8ehis","title":"Replication Data for: Evaluating Friction and Inertial Losses from Slug Tests Conducted in a Multilevel System","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Slug test; Borehole; Replication (statistics); Slug; Test data","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002029026,0.002839976,0.001512515,0.003671373,0.001492142,0.00182661,0.004187856,0.003128928,0.02499126],"category_scores_gemma":[0.009633816,0.0009074991,0.002324941,0.006534725,0.0007773053,0.0008030885,0.001516138,0.001446336,0.03124369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003600373,"about_ca_system_score_gemma":0.008620657,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5683357,"about_ca_topic_score_gemma":0.7258382,"domain_scores_codex":[0.9981197,0.0001782282,0.0001549419,0.000446626,0.0007695776,0.000330922],"domain_scores_gemma":[0.9920865,0.001216187,0.0007602285,0.001726768,0.003677091,0.0005332895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001825354,0.00006383712,0.007818826,0.0009391225,0.0001338868,0.00004091798,0.00005327045,0.00204754,0.0002595198,0.0003368214,0.984583,0.003540738],"study_design_scores_gemma":[0.0009484793,0.00008005874,0.08622146,0.0006660625,0.0002265913,0.00007755616,0.0002943232,0.002989814,0.001315171,0.001144347,0.9058705,0.0001656641],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000418536,0.00003712786,0.00004730618,0.00002543012,0.00001140581,0.00001147134,0.9990405,0.0001428335,0.0002653078],"genre_scores_gemma":[0.0009163982,0.0000266624,0.0002035864,0.00001674807,0.000005073311,0.0000535934,0.9980764,0.00003139311,0.000670116],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5683357,"threshold_uncertainty_score":0.8684129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1649442442894493,"score_gpt":0.394862461958054,"score_spread":0.2299182176686047,"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."}}