{"id":"W4365150344","doi":"10.24975/2313-8920-2022-9-4-447-463","title":"Geographical space and cinema images of the white Arctic on a white screen (Part I)","year":2023,"lang":"en","type":"article","venue":"Post-Soviet Issues","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arctic; Movie theater; Tundra; Snow; White (mutation); Glacier; Geography; Archipelago; Geology; Oceanography; History; Physical geography; Archaeology; Art history; Meteorology","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":[0.0002194195,0.0004542789,0.00009696328,0.0007286022,0.001568662,0.002623467,0.0002138535,0.0004161871,0.02550899],"category_scores_gemma":[0.0007290117,0.0001136817,0.0001403711,0.0005954851,0.0008140962,0.001033523,0.001263484,0.000820688,0.001981606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005400695,"about_ca_system_score_gemma":0.0002641945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007253415,"about_ca_topic_score_gemma":0.0147986,"domain_scores_codex":[0.9998878,0.00005362005,0.000002227313,0.00001184926,0.00002657088,0.00001779835],"domain_scores_gemma":[0.9997818,0.00007991093,0.00001591447,0.00001085011,0.00003822139,0.00007323884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001715798,0.00005540288,0.001244145,0.0004262518,0.00001509509,0.00125177,0.09841261,0.0004623316,0.006881642,0.06694646,0.7573444,0.06678839],"study_design_scores_gemma":[0.000003861508,0.00001692139,0.002629327,0.0001411834,0.000005672678,0.0002931677,0.01392334,0.0001110314,0.0002403684,0.0007046155,0.9819226,0.00000795033],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0657839,0.00810953,0.002111282,0.009038579,0.005013848,0.00004894559,0.0008833293,0.000332524,0.9086781],"genre_scores_gemma":[0.623244,0.009849802,0.002579181,0.00376148,0.004248945,0.00009801207,0.001092566,0.0004594975,0.3546665],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02550899,"threshold_uncertainty_score":0.08533609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02288820767436914,"score_gpt":0.3155973896116063,"score_spread":0.2927091819372372,"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."}}