{"id":"W4413682599","doi":"10.22215/wirl/2018.1","title":"Canadian Ice Island Drift, Deterioration and Detection (CI2D3) Database","year":2015,"lang":"en","type":"report","venue":"","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Database; Geology; Computer science","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":[0.001657779,0.00145817,0.0008124374,0.008089333,0.002701998,0.002713075,0.002746972,0.0007478295,0.05600218],"category_scores_gemma":[0.008857127,0.0005059207,0.000705722,0.01538171,0.000505955,0.0009965872,0.00120621,0.0009102346,0.01585206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01991393,"about_ca_system_score_gemma":0.09711623,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9842419,"about_ca_topic_score_gemma":0.9818968,"domain_scores_codex":[0.9971578,0.00006198216,0.000174862,0.0001727574,0.002089769,0.0003428532],"domain_scores_gemma":[0.9846139,0.0003814605,0.0004598955,0.0005696337,0.01335764,0.0006174567],"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":[0.00003430565,0.000008611309,0.002202425,0.0002145306,0.00001486079,0.00002245787,0.00002989063,0.0003836556,0.00006051857,0.001258036,0.9867387,0.009032022],"study_design_scores_gemma":[0.00003435091,0.000007541792,0.01706391,0.0002921348,0.00002699913,0.00002850051,0.0001197495,0.0008798069,0.0005323251,0.0006056687,0.9803618,0.00004715675],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005772919,0.0002371305,0.00051259,0.0003034387,0.00009630252,0.0001100781,0.9726856,0.0003920281,0.02508557],"genre_scores_gemma":[0.008341247,0.001168584,0.003725029,0.0002698068,0.00004108892,0.0003237967,0.9563435,0.0004612431,0.02932573],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05600218,"threshold_uncertainty_score":0.187346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02477522614141419,"score_gpt":0.2457857089082779,"score_spread":0.2210104827668637,"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."}}