{"id":"W4389358033","doi":"10.1130/abs/2023am-395317","title":"REGIONAL TILL AND STREAM SEDIMENT SAMPLING TO SUPPORT THE EVALUATION OF CRITICAL MINERAL POTENTIAL IN ALBERTA","year":2023,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sampling (signal processing); Sediment; Geology; Hydrology (agriculture); Environmental science; Geomorphology; Geotechnical engineering; Computer science; Telecommunications","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":[0.001022025,0.0002205872,0.0001928682,0.001935134,0.001300705,0.0008730269,0.0009413662,0.0002786437,0.001224268],"category_scores_gemma":[0.001516596,0.000179309,0.0001423933,0.002627328,0.0003683546,0.000283552,0.0004823662,0.0002636792,0.000192328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01179862,"about_ca_system_score_gemma":0.01978442,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.979803,"about_ca_topic_score_gemma":0.9949502,"domain_scores_codex":[0.999501,0.00005354955,0.00002647802,0.00006610267,0.0002473123,0.0001055297],"domain_scores_gemma":[0.9979218,0.0001545144,0.0001505357,0.00006967585,0.001471498,0.0002320135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006474915,0.000115275,0.9052423,0.0001016391,0.00009029323,0.0005979534,0.001332973,0.007800528,0.008121731,0.001084516,0.005285833,0.06957961],"study_design_scores_gemma":[0.00002364142,0.00004002747,0.9841187,0.00003167357,0.0000436411,0.00007423558,0.001816766,0.006306349,0.001918879,0.0002101468,0.005403281,0.00001272662],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802378,0.0005623497,0.002442545,0.0003835872,0.00001749096,0.0001404901,0.00467246,0.0001307227,0.0114125],"genre_scores_gemma":[0.9880113,0.0002365669,0.005544395,0.00005793176,0.000005032942,0.00002670673,0.001891986,0.00002034642,0.004205648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02019697,"threshold_uncertainty_score":0.08560538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05462598309207759,"score_gpt":0.3108580880744058,"score_spread":0.2562321049823282,"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."}}