{"id":"W7015923677","doi":"","title":"Transdisciplinary Working for Environmental Research: Case of an R&D Performing Organisation from Latvia","year":2017,"lang":"en","type":"article","venue":"Science","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transdisciplinarity; Excellence; Diversity (politics); Resource (disambiguation); Natural resource; Natural (archaeology)","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00568079,0.0004843599,0.0003245253,0.001435715,0.0271864,0.005401154,0.001446355,0.005034854,0.003401282],"category_scores_gemma":[0.005353433,0.0004667373,0.0004711362,0.001894725,0.005202217,0.001318886,0.0062847,0.003017941,0.0005890606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01026725,"about_ca_system_score_gemma":0.02273055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1315347,"about_ca_topic_score_gemma":0.3399917,"domain_scores_codex":[0.9899636,0.005414117,0.0002384869,0.0004096401,0.0009050353,0.003069069],"domain_scores_gemma":[0.9890695,0.003101241,0.0006951184,0.0004849802,0.001604165,0.005045025],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005220268,0.00142818,0.112521,0.0007243064,0.0001132603,0.2075297,0.5134268,0.004084344,0.007614926,0.0739278,0.01080514,0.06730245],"study_design_scores_gemma":[0.0000456585,0.0006563808,0.05361295,0.000638963,0.00005323816,0.02029001,0.7748545,0.002349604,0.001523077,0.003350589,0.1425224,0.0001024829],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9408607,0.000665237,0.002200864,0.01172629,0.00008854057,0.0001591569,0.00004264394,0.00002118478,0.0442354],"genre_scores_gemma":[0.9836278,0.0006162577,0.001953054,0.001638163,0.00002866661,0.00006437157,0.00004160773,0.00002048769,0.01200961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9943192,"threshold_uncertainty_score":0.2615381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4240462677418396,"score_gpt":0.5450895335463645,"score_spread":0.1210432658045248,"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."}}