{"id":"W6927554907","doi":"10.26069/greynet-2025-000.615-gn","title":"Twenty-Fifth International Conference on Grey Literature \"Confronting Climate Change with Trusted Grey Resources\"","year":2025,"lang":"en","type":"other","venue":"GreyNet International","topic":"Optics and Image Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grey literature; Climate change; Work (physics); Field (mathematics); Quarter (Canadian coin); Reuse","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.02513245,0.00126342,0.001289529,0.007387256,0.005169298,0.02283613,0.003509672,0.00871395,0.06384186],"category_scores_gemma":[0.03354847,0.0004898261,0.001555849,0.004200875,0.01018334,0.01593086,0.0220054,0.008615083,0.01986274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009480697,"about_ca_system_score_gemma":0.02504027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006362419,"about_ca_topic_score_gemma":0.009220114,"domain_scores_codex":[0.9850779,0.005664064,0.0009210357,0.00135303,0.005712627,0.001271346],"domain_scores_gemma":[0.9677099,0.01260832,0.0009566266,0.00348154,0.008717706,0.006525821],"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":[0.00002132849,0.00002547657,0.0001436423,0.0006928095,0.0000174204,0.0002065764,0.002680107,0.0001610464,0.0003225383,0.1178833,0.7980592,0.07978659],"study_design_scores_gemma":[0.000001695167,0.000003773207,0.00008573337,0.001026056,0.000003832919,0.00004922225,0.0007046493,0.00006432827,0.00004882462,0.01588393,0.9821201,0.00000789435],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.001854992,0.10556,0.016745,0.4227422,0.1347075,0.0003798364,0.0007326623,0.0007912965,0.3164865],"genre_scores_gemma":[0.05883898,0.1497137,0.02583351,0.1044765,0.07303145,0.000911861,0.002891237,0.001730615,0.5825722],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9771639,"threshold_uncertainty_score":0.2135723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01834000430466581,"score_gpt":0.2420816274454652,"score_spread":0.2237416231407993,"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."}}