{"id":"W2508719910","doi":"","title":"8 th Town Hall - International Study of Arctic Change (ISAC)","year":2015,"lang":"en","type":"article","venue":"2015 AGU Fall Meeting","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Town hall; Arctic; The arctic; Geography; Oceanography; Archaeology; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001065336,0.0000965757,0.0001762804,0.0000698048,0.000231089,0.00002806641,0.0003157808,0.00004877079,0.00001819016],"category_scores_gemma":[0.000844734,0.00008117934,0.00004036629,0.0001379896,0.0001575695,0.000167476,0.0001730814,0.00009369251,0.00003642169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001125407,"about_ca_system_score_gemma":0.00007456102,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1628977,"about_ca_topic_score_gemma":0.0632207,"domain_scores_codex":[0.9986132,0.0001588137,0.0002238654,0.0001774864,0.0005603423,0.0002662506],"domain_scores_gemma":[0.9992735,0.0001061291,0.0001609789,0.0001265156,0.0002018259,0.0001309922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002386621,0.0003262663,0.5963107,0.00001112652,0.0001159581,0.00000913137,0.3844813,0.000007554669,0.000004556176,0.003188599,0.01343529,0.002085616],"study_design_scores_gemma":[0.0026974,0.0006575148,0.1433463,0.0002650133,0.0001403614,0.000005052844,0.6742221,0.0001918815,0.0000146964,0.005993965,0.1718102,0.0006554993],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6217433,0.000366237,0.000009371696,0.009356562,0.0009065224,0.0003838009,0.00000365535,0.00006425261,0.3671663],"genre_scores_gemma":[0.9959044,0.0000485627,0.0002593623,0.0001916812,0.0009762464,0.00002680297,0.000001091711,0.000009073984,0.002582731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4529645,"threshold_uncertainty_score":0.9538731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1290016881653176,"score_gpt":0.3750151771574528,"score_spread":0.2460134889921351,"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."}}