{"id":"W7100695820","doi":"","title":"NEW PRODUCTS AND ADVANCEMENTS IN 3-D MODELLING PROTOCOLS BASED ON STUDIES IN THICK DRIFT AREAS IN","year":2015,"lang":"en","type":"article","venue":"","topic":"Library Science and Information","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Sustainability; Key (lock); Quality (philosophy); Reuse; Public policy","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":[0.007865268,0.0009883299,0.0006019836,0.001403293,0.000919739,0.003617917,0.003215005,0.00165705,0.01376765],"category_scores_gemma":[0.01772057,0.001128117,0.001328875,0.001968276,0.00120918,0.004950769,0.003209548,0.001940042,0.004173977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001722128,"about_ca_system_score_gemma":0.003008366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02278562,"about_ca_topic_score_gemma":0.02852933,"domain_scores_codex":[0.9976597,0.0007152838,0.0002327865,0.0002313294,0.001086912,0.00007401485],"domain_scores_gemma":[0.9909254,0.002576639,0.0003779792,0.003025361,0.002844493,0.0002500562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004429703,0.0002660483,0.009431783,0.000854158,0.000139594,0.000377951,0.002267105,0.3590546,0.02201532,0.07666375,0.04373393,0.4847528],"study_design_scores_gemma":[0.00009414993,0.0001822326,0.00276317,0.0004779144,0.0001119768,0.000316091,0.000683683,0.7027451,0.01679354,0.035716,0.2399093,0.0002068147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01163226,0.001112974,0.9521087,0.003759012,0.0006198026,0.0003109886,0.001287621,0.004377275,0.0247913],"genre_scores_gemma":[0.1478061,0.00475193,0.8271592,0.0006653569,0.000178486,0.000626319,0.003133249,0.001957277,0.01372208],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02278562,"threshold_uncertainty_score":0.0460574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1530476778743254,"score_gpt":0.3369554864075334,"score_spread":0.183907808533208,"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."}}