{"id":"W2892384886","doi":"10.1007/s10706-018-0703-8","title":"Recommendations for a Quantitative Description of Joint Orientation Data","year":2018,"lang":"en","type":"article","venue":"Geotechnical and Geological Engineering","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Wilson Centre; University of Toronto","funders":"","keywords":"Orientation (vector space); Joint (building); Confidence interval; Hydrogeology; Sample (material); Computer science; Flexibility (engineering); Borehole; Data mining; Range (aeronautics); Set (abstract data type); Statistics; Geology; Engineering; Mathematics; Civil engineering; Geotechnical engineering","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":[0.03768484,0.002040707,0.001472751,0.01425987,0.001733079,0.006645924,0.006121455,0.005663379,0.08172935],"category_scores_gemma":[0.2096501,0.001853738,0.002499028,0.01463418,0.001457151,0.01032732,0.002780075,0.005583906,0.05624081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003780575,"about_ca_system_score_gemma":0.01552704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08011635,"about_ca_topic_score_gemma":0.074812,"domain_scores_codex":[0.9767363,0.007944698,0.00445439,0.00108264,0.008782535,0.0009993892],"domain_scores_gemma":[0.6770564,0.05836998,0.009957588,0.03422742,0.2155902,0.004798352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001343884,0.0002991922,0.004668683,0.001607563,0.00006583012,0.0001597047,0.0003314588,0.005635923,0.002607891,0.0187917,0.8056152,0.1600825],"study_design_scores_gemma":[0.0002959111,0.0001362437,0.0119943,0.005844097,0.0001576851,0.000336993,0.001471975,0.01229777,0.005138543,0.03114085,0.9308667,0.0003190245],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003637259,0.002150641,0.6719709,0.07009911,0.008765806,0.007661679,0.1212828,0.01744316,0.09698857],"genre_scores_gemma":[0.01217662,0.002215237,0.8677123,0.007356,0.0008136893,0.006016609,0.0576513,0.003114639,0.04294362],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08172935,"threshold_uncertainty_score":0.2734119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1145002185041618,"score_gpt":0.2884787762349584,"score_spread":0.1739785577307965,"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."}}