{"id":"W4404815860","doi":"10.21240/merz/2010.2.21","title":"„Frozen Land – Moving Pictures“","year":2010,"lang":"de","type":"article","venue":"merz | medien + erziehung","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer graphics (images); Computer science; Geography; Visual arts; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001020878,0.0005501057,0.001161005,0.000455093,0.0004581132,0.0001720778,0.0006279528,0.0004642999,0.002058014],"category_scores_gemma":[0.001311627,0.0005850692,0.0003223525,0.0004344347,0.0002919867,0.0002638647,0.000383337,0.001198508,0.0034668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009103461,"about_ca_system_score_gemma":0.00007916713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006070442,"about_ca_topic_score_gemma":0.001652597,"domain_scores_codex":[0.9965736,0.00003052172,0.00109754,0.0009989056,0.0001725985,0.001126888],"domain_scores_gemma":[0.9976516,0.0003156774,0.0005564173,0.0009102293,0.00009594794,0.0004701329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001131309,0.000489481,0.7995262,0.0005615777,0.001404532,0.0002340714,0.02052753,0.00003306528,0.001567377,0.02718645,0.1340936,0.01426292],"study_design_scores_gemma":[0.001534741,0.0001275498,0.08299883,0.00008340791,0.0001506268,0.00001237627,0.0003709211,0.0008050726,0.0003567415,0.002432852,0.910289,0.0008379184],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7925303,0.08876736,0.0003006582,0.007901503,0.04891187,0.0008847086,0.0005335283,0.0001927808,0.05997732],"genre_scores_gemma":[0.9730724,0.005739178,0.0009828883,0.0009879633,0.007182929,0.00008072138,0.0001017359,0.0001223702,0.01172988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7761953,"threshold_uncertainty_score":0.9996601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01516314728289558,"score_gpt":0.2149180396305516,"score_spread":0.199754892347656,"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."}}