{"id":"W2585879149","doi":"10.1016/j.jclepro.2017.01.175","title":"Social network analysis reveals that communication gaps may prevent effective water management in the mining sector","year":2017,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Business; Sustainability; Social network analysis; Production (economics); Work (physics); Knowledge management; Public relations; Environmental resource management; Environmental planning; Environmental economics; Social media; Computer science; Engineering; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002468819,0.0001150657,0.0002994359,0.0001602932,0.0005088729,0.0001643333,0.0004968892,0.00002612118,0.00005427382],"category_scores_gemma":[0.000006737687,0.00007230208,0.0002864829,0.0001671002,0.00005259681,0.0002906189,0.0001087193,0.000259793,0.000001794212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006168967,"about_ca_system_score_gemma":0.000004668456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000034956,"about_ca_topic_score_gemma":0.00004812644,"domain_scores_codex":[0.9985341,0.0004845396,0.0003757511,0.0001518239,0.0002727578,0.0001810428],"domain_scores_gemma":[0.9985447,0.00003926557,0.0007424816,0.0005529428,0.0001015737,0.00001905603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004092695,0.001047416,0.5885687,0.00007080621,0.009484204,0.00001620198,0.0144995,0.04043084,0.0007584062,0.004216787,0.06236906,0.2781288],"study_design_scores_gemma":[0.0008314146,0.0001469367,0.9105883,0.0002298557,0.004497622,0.00001209331,0.003401351,0.000758389,0.006101024,0.05180173,0.02116838,0.0004629311],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913419,0.00007743603,0.001644659,0.003110604,0.0001249607,0.0003857992,5.258073e-7,0.000008599186,0.003305461],"genre_scores_gemma":[0.9972954,0.0000216476,0.0008237308,0.00002290375,0.001488432,0.00002711189,0.00001068138,0.000009460905,0.0003006109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3220195,"threshold_uncertainty_score":0.391389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02363558172780222,"score_gpt":0.3132383994976646,"score_spread":0.2896028177698624,"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."}}