{"id":"W2901023174","doi":"","title":"Micromechanical Characterization of the Lower Triassic Montney Claraia Biostrome","year":2018,"lang":"en","type":"article","venue":"52nd U.S. Rock Mechanics/Geomechanics Symposium","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Characterization (materials science); Geology; Materials science; Nanotechnology","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":[0.0001272252,0.0002025888,0.000200214,0.002016816,0.0009423264,0.0006856165,0.000370349,0.0004313977,0.005428511],"category_scores_gemma":[0.0003836098,0.0001881127,0.0001079365,0.0006862152,0.0004914597,0.0003115807,0.0004765366,0.0002708074,0.00109245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005060631,"about_ca_system_score_gemma":0.0004696151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05148735,"about_ca_topic_score_gemma":0.156523,"domain_scores_codex":[0.9999033,0.000003161522,0.00000534195,0.00003617519,0.00003363092,0.0000183243],"domain_scores_gemma":[0.999796,0.00001803296,0.00003889477,0.00001807132,0.00009222328,0.00003688792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001660754,0.00004800937,0.134823,0.0001204641,0.0000269197,0.0006429392,0.001417266,0.001190742,0.8337653,0.0004049804,0.001084915,0.02630924],"study_design_scores_gemma":[0.000003465163,0.00004325813,0.9875668,0.00001369594,0.000006848699,0.0001591935,0.0003914279,0.001212337,0.007229417,0.00002805766,0.003337409,0.000007999218],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897438,0.0003765334,0.0006258338,0.00009242358,0.000009454215,0.00001666498,0.0007320434,0.00005611599,0.008347097],"genre_scores_gemma":[0.995425,0.00009792924,0.0005636519,0.0000423227,0.000006886205,0.00001533371,0.0006639005,0.00001680459,0.003168112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05148735,"threshold_uncertainty_score":0.1023753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01246940968245569,"score_gpt":0.2014212766209945,"score_spread":0.1889518669385389,"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."}}