{"id":"W2594522244","doi":"10.1190/tle36030215.1","title":"Machine learning as a tool for geologists","year":2017,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"GDG Environnement","funders":"","keywords":"Drill; Drill hole; Geology; Machine learning; Artificial intelligence; Core (optical fiber); Computer science; Mining engineering; Engineering; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01222476,0.001525958,0.00154967,0.005615407,0.0009473907,0.007916121,0.00263141,0.004574591,0.009478852],"category_scores_gemma":[0.02978656,0.0006350254,0.0006318649,0.002989218,0.007546398,0.01261405,0.003913461,0.007708311,0.005316765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00140613,"about_ca_system_score_gemma":0.001786828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007866747,"about_ca_topic_score_gemma":0.0005604917,"domain_scores_codex":[0.9951769,0.002667045,0.0004199019,0.000393519,0.00123174,0.0001108956],"domain_scores_gemma":[0.9682221,0.0251279,0.0008806934,0.00247298,0.002065541,0.001230714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008881908,0.0001729218,0.001829266,0.00087738,0.0001150377,0.0002788246,0.0007389619,0.007438171,0.0009935421,0.5040324,0.1676166,0.3158181],"study_design_scores_gemma":[0.00002563599,0.00005697098,0.0003624822,0.0005507462,0.00001360737,0.0001365334,0.0002849295,0.01616786,0.0004421976,0.7836949,0.1982208,0.00004332665],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002983613,0.08227444,0.6583356,0.1964376,0.008545415,0.0001118176,0.000738459,0.004694039,0.04587903],"genre_scores_gemma":[0.1320263,0.07300568,0.7102025,0.02350522,0.02434776,0.0006851305,0.001074284,0.001466178,0.03368694],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01222476,"threshold_uncertainty_score":0.06465143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0291619318895526,"score_gpt":0.2829723829765129,"score_spread":0.2538104510869603,"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."}}