{"id":"W4411340706","doi":"10.1016/j.gsme.2025.06.004","title":"Innovative approach to green mining: Integration of drone technology, GIS, and ERT for basalt extraction and CO2 storage in Bagrote Valley, Gilgit-Baltistan, Pakistan","year":2025,"lang":"en","type":"article","venue":"Green and Smart Mining Engineering","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of the Fraser Valley","funders":"National Social Science Fund of China; Major Program of National Fund of Philosophy and Social Science of China; Ministry of Science and Technology of the People's Republic of China","keywords":"Basalt; Drone; Extraction (chemistry); Geology; Geochemistry; Chemistry; Biology","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":[0.0001873407,0.0002527276,0.0001590133,0.0005087514,0.0004564181,0.000632095,0.0002876074,0.0002352874,0.000932636],"category_scores_gemma":[0.0001734168,0.0001273147,0.0001337333,0.0006466386,0.0004154619,0.0004474745,0.0004746373,0.0001823772,0.0001181821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008042541,"about_ca_system_score_gemma":0.001353894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0241397,"about_ca_topic_score_gemma":0.05879536,"domain_scores_codex":[0.9998066,0.00003910876,0.000007305478,0.00003981269,0.00006198722,0.00004525266],"domain_scores_gemma":[0.9999399,0.00001063081,0.00001115171,0.000006053658,0.000017463,0.00001477296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004337411,0.001020988,0.4514771,0.00046827,0.000137498,0.008249938,0.005117306,0.07800378,0.06595974,0.006434554,0.002370151,0.380327],"study_design_scores_gemma":[0.0001961886,0.002005721,0.6526504,0.0001334134,0.0001773049,0.002775446,0.0361945,0.2379141,0.02883294,0.004386198,0.03460944,0.0001244321],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988064,0.0001249493,0.00521447,0.0001865938,0.000009807632,0.00006863217,0.0001625472,0.0000273338,0.006141672],"genre_scores_gemma":[0.9893266,0.0001578953,0.008741572,0.0000219274,0.000003779625,0.00001704928,0.00007760728,0.000002796959,0.001650773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0241397,"threshold_uncertainty_score":0.04799837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01508962735194248,"score_gpt":0.2554902170349794,"score_spread":0.240400589683037,"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."}}