{"id":"W2586702541","doi":"","title":"Somewhere between small and middle : Norway in status transition","year":2015,"lang":"en","type":"dissertation","venue":"BIBSYS Brage (BIBSYS (Norway))","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; United Nations Development Programme","keywords":"Transition (genetics); Geography; 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":[0.002897184,0.0001792309,0.0002532925,0.0006767472,0.003708421,0.005778654,0.0006101956,0.0007942269,0.003862142],"category_scores_gemma":[0.003899632,0.0001722145,0.0001960359,0.0008836178,0.005708405,0.004079042,0.003914169,0.001464887,0.0004329184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01002409,"about_ca_system_score_gemma":0.009331848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2378275,"about_ca_topic_score_gemma":0.3080173,"domain_scores_codex":[0.998206,0.0004883215,0.00009158601,0.0002567291,0.0003177481,0.0006395804],"domain_scores_gemma":[0.9981828,0.0005185395,0.0003004292,0.00006936287,0.0002158834,0.0007129524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005249614,0.0001155138,0.1333386,0.0003144848,0.00002785929,0.003840898,0.340354,0.001061211,0.001000067,0.4339354,0.02282056,0.06266642],"study_design_scores_gemma":[0.00004263995,0.0001507282,0.1736185,0.001060864,0.0000242896,0.0004934095,0.539308,0.0006459311,0.00041863,0.03352591,0.2505931,0.0001179866],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8566945,0.002327949,0.0005002005,0.01208147,0.0005483269,0.00001965389,0.0002733657,0.00001498894,0.1275396],"genre_scores_gemma":[0.992778,0.0004282639,0.00009945196,0.0004986954,0.00002081561,0.00000648191,0.00005345465,0.00001117321,0.006103633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2378275,"threshold_uncertainty_score":0.4728864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06679585352672354,"score_gpt":0.3205995808486968,"score_spread":0.2538037273219733,"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."}}