{"id":"W7078715643","doi":"10.5281/zenodo.16770270","title":"Building Cross-Cultural Capacity for Sustainable Trials","year":2025,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Training (meteorology); Capacity building; Sustainable development; Sustainability; Traditional knowledge; Developing country","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.357472,0.0009882762,0.001218468,0.003382616,0.01695873,0.02388328,0.008153475,0.007164603,0.04867764],"category_scores_gemma":[0.2622124,0.001707745,0.001216845,0.002567565,0.01933394,0.02266035,0.08525447,0.0119199,0.008145532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0127806,"about_ca_system_score_gemma":0.1258816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006989031,"about_ca_topic_score_gemma":0.01266182,"domain_scores_codex":[0.7451679,0.2141798,0.004931794,0.008510396,0.0083594,0.0188506],"domain_scores_gemma":[0.6112764,0.1777262,0.01602372,0.05901903,0.04454292,0.09141175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000934392,0.003306387,0.03467125,0.002946332,0.0003435412,0.002953919,0.249212,0.003519637,0.003739037,0.2644521,0.08467828,0.3492431],"study_design_scores_gemma":[0.0007932025,0.001128588,0.01341952,0.005564959,0.00009547659,0.0009865268,0.2302514,0.002789381,0.002888797,0.2613363,0.4804887,0.000257052],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.162156,0.007922601,0.1443238,0.3435779,0.006733914,0.01629845,0.0007890421,0.001012101,0.3171861],"genre_scores_gemma":[0.8125617,0.002338241,0.1007312,0.03593554,0.0006995896,0.01974351,0.000597313,0.0003897324,0.02700322],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.357472,"threshold_uncertainty_score":0.7923514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1102499783671023,"score_gpt":0.3416426202330917,"score_spread":0.2313926418659894,"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."}}