{"id":"W2982224911","doi":"10.4095/216141","title":"Sedimentology Laboratory manual, Terrain Sciences Division","year":2004,"lang":"en","type":"report","venue":"","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Sedimentology; Terrain; Division (mathematics); Geology; Archaeology; Geomorphology; Geography; Cartography","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":[0.002403169,0.001564681,0.001220459,0.008224017,0.001363236,0.001243885,0.003399227,0.0006530437,0.1343422],"category_scores_gemma":[0.006936989,0.001693712,0.0004724064,0.007151739,0.0003720823,0.002249861,0.0007230255,0.001157546,0.1031786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001149111,"about_ca_system_score_gemma":0.007963618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07566398,"about_ca_topic_score_gemma":0.1993736,"domain_scores_codex":[0.9975545,0.0001621991,0.0002575067,0.0002435803,0.001687093,0.00009518411],"domain_scores_gemma":[0.9891309,0.001430009,0.0006954371,0.001085547,0.007369902,0.0002882074],"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":[0.00009025825,0.0004071474,0.007800329,0.0002365582,0.0000158377,0.00007186757,0.0001265887,0.0004302821,0.002336146,0.0008366014,0.8799725,0.107676],"study_design_scores_gemma":[0.0001959552,0.000169318,0.05070341,0.0002228211,0.00006706451,0.0002388366,0.0002548855,0.00174833,0.005210768,0.0008295745,0.9403096,0.0000494814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.009597617,0.0008593864,0.03749388,0.001125456,0.0007237073,0.003761558,0.6488274,0.01415005,0.2834609],"genre_scores_gemma":[0.008567129,0.001538068,0.06300005,0.0004143923,0.0002134356,0.003190624,0.5046643,0.002755352,0.4156567],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1343422,"threshold_uncertainty_score":0.4494194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02209659010852192,"score_gpt":0.3031512831108663,"score_spread":0.2810546930023444,"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."}}