{"id":"W2769830113","doi":"10.1080/2154896x.2017.1394108","title":"Exploring the user-producer interface of weather and sea ice information for Arctic marine mobilities: a dedicated session at the Ninth International Congress on Arctic Social Sciences (ICASS)","year":2017,"lang":"en","type":"article","venue":"The Polar Journal","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Ninth; Arctic; Session (web analytics); Mobilities; Oceanography; The arctic; Meteorology; Geography; Political science; Environmental science; Climatology; Business; Sociology; Advertising; Geology; Social science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.00296773,0.00009285181,0.0001146569,0.00004395783,0.007691008,0.0003420328,0.0006921919,0.00002774824,0.00008865631],"category_scores_gemma":[0.00192881,0.00004070852,0.00006925545,0.00005989932,0.002165088,0.0007345933,0.0002852362,0.0002759149,0.000004938618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001225225,"about_ca_system_score_gemma":0.0001189685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00272361,"about_ca_topic_score_gemma":0.0009247997,"domain_scores_codex":[0.9987277,0.0002725641,0.0002248627,0.00009264277,0.0004526592,0.0002295062],"domain_scores_gemma":[0.9985949,0.0005964896,0.0004410709,0.0001594654,0.0001700167,0.00003803484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0009214937,0.0001731676,0.1962053,0.0001785415,0.0009515977,0.000001785362,0.6206518,0.0002042064,0.0001933088,0.1244995,0.01744913,0.03857004],"study_design_scores_gemma":[0.002157471,0.0004443614,0.3753542,0.0007297962,0.0003093753,0.00008647319,0.2912705,0.0007511388,0.00141346,0.03393861,0.2930513,0.0004934157],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8427229,0.0001178334,0.0001602883,0.1466155,0.001651888,0.0004051322,0.00001710619,0.00001268139,0.008296635],"genre_scores_gemma":[0.9972671,0.0004025893,0.00004095918,0.0002364523,0.0004987915,0.00002199286,3.452932e-7,0.000005165461,0.001526575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3293814,"threshold_uncertainty_score":0.9936008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.11140383768039,"score_gpt":0.3797982888635518,"score_spread":0.2683944511831619,"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."}}