{"id":"W2967845659","doi":"","title":"Competing grounds for identifying TCUs - TRPs vs Actions","year":2019,"lang":"de","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0220338,0.0006919687,0.001404404,0.002640372,0.002339544,0.009742953,0.00210794,0.005845536,0.02846078],"category_scores_gemma":[0.1697244,0.0005871351,0.001210276,0.003208355,0.005467558,0.009572541,0.006233353,0.004959456,0.001492604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002095471,"about_ca_system_score_gemma":0.002879765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003839754,"about_ca_topic_score_gemma":0.005426697,"domain_scores_codex":[0.9775317,0.01257813,0.001286154,0.002723775,0.003639218,0.00224097],"domain_scores_gemma":[0.8077658,0.1593988,0.01037919,0.01126022,0.006347782,0.004848337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001005695,0.0001080668,0.03650723,0.000296541,0.0001800285,0.0004401795,0.002752028,0.005762492,0.0007033139,0.8992749,0.005564692,0.0474048],"study_design_scores_gemma":[0.0001002064,0.00007164691,0.006573825,0.0001686702,0.00009377451,0.0001771787,0.003684815,0.04095167,0.0009434174,0.9408475,0.006342285,0.00004507549],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4524628,0.001279292,0.3194874,0.03552638,0.0006407562,0.000783715,0.002468577,0.0005145376,0.1868366],"genre_scores_gemma":[0.9840854,0.0000912541,0.01174132,0.0004897001,0.0001019743,0.000131111,0.0002965944,0.00008551496,0.002977098],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02846078,"threshold_uncertainty_score":0.1165273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0386195227766513,"score_gpt":0.2695037333810815,"score_spread":0.2308842106044302,"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."}}