{"id":"W6899210436","doi":"10.58079/133ko","title":"Articles’ Selection #17 : Winter 2024","year":2025,"lang":"en","type":"article","venue":"Industrias Culturais (Universidade de Coimbra)","topic":"Mining and Resource Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Politics; Coal; Coal mining; Government (linguistics); Transformation (genetics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001861277,0.001553296,0.00182184,0.005082373,0.003533506,0.01402358,0.002293491,0.005168006,0.7293047],"category_scores_gemma":[0.01154775,0.0006072859,0.001353159,0.005544412,0.0008180271,0.004744083,0.0030738,0.002485252,0.6236798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00352732,"about_ca_system_score_gemma":0.00400253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008522429,"about_ca_topic_score_gemma":0.02167572,"domain_scores_codex":[0.997486,0.000186034,0.0001693599,0.0002336861,0.001446524,0.0004783824],"domain_scores_gemma":[0.9859529,0.0009312294,0.0004111777,0.0004845063,0.009339216,0.00288114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001885221,0.000006948867,0.00002672287,0.00009078842,0.000001354898,0.00001995279,0.000006324723,0.000008525436,0.00003712457,0.0002327895,0.9944445,0.005106165],"study_design_scores_gemma":[0.0000211787,0.00001424223,0.0004561208,0.0002202895,0.000001934957,0.00001616735,0.00004218131,0.00001573884,0.000052033,0.0003394855,0.9988132,0.000007530191],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008713179,0.004216159,0.0006365965,0.02432404,0.2046701,0.001339891,0.03240262,0.001829642,0.7297095],"genre_scores_gemma":[0.001927762,0.001923291,0.0002414203,0.005041387,0.0222628,0.0004992913,0.009639286,0.001013876,0.9574509],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7293047,"threshold_uncertainty_score":0.386114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01586549546148562,"score_gpt":0.218202801149747,"score_spread":0.2023373056882614,"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."}}