{"id":"W7130557369","doi":"10.5281/zenodo.18036273","title":"EcoAdvance Showcase: Sofia Matsi - Republic of Cyrus","year":2025,"lang":"en","type":"article","venue":"Open MIND","topic":"Aquatic Ecosystems and Biodiversity","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"File format; Government (linguistics); Quarter (Canadian coin)","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":[0.0003359351,0.0004047829,0.0002414526,0.0003295914,0.002104328,0.001822703,0.0002598756,0.0007808398,0.4188343],"category_scores_gemma":[0.0006256299,0.0001543687,0.0002221389,0.0006038322,0.0003579035,0.001074311,0.002153671,0.00099091,0.09418935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007983798,"about_ca_system_score_gemma":0.0007041338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006828002,"about_ca_topic_score_gemma":0.01481477,"domain_scores_codex":[0.9998435,0.00001967181,0.000002584759,0.00001968249,0.00003471683,0.00007981441],"domain_scores_gemma":[0.9997472,0.00004286601,0.00001351971,0.00002668122,0.00005481851,0.00011494],"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":[0.0001165059,0.00002095158,0.0004632618,0.00009754374,0.000002410678,0.0004442343,0.0008255523,0.00006572208,0.001610789,0.00190475,0.9762045,0.01824378],"study_design_scores_gemma":[0.000005166091,0.00001246037,0.00354568,0.00002978375,0.000001001795,0.0001405205,0.0009908978,0.00004323037,0.0003595341,0.0001131488,0.9947535,0.000005064306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03038218,0.001554867,0.0008216049,0.01006576,0.005580595,0.0002323195,0.008183604,0.001769959,0.9414091],"genre_scores_gemma":[0.07589389,0.0008655976,0.0006577669,0.000866238,0.0007963061,0.0001453236,0.002136313,0.001229949,0.9174086],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4188343,"threshold_uncertainty_score":0.8289623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02398691251258902,"score_gpt":0.2748744852334219,"score_spread":0.2508875727208329,"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."}}