{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004462096,0.001107384,0.0003017422,0.0009695598,0.001182422,0.002194162,0.001180377,0.001456693,0.3247305],"category_scores_gemma":[0.00180565,0.0004543343,0.0005988032,0.0009599715,0.0004504352,0.002645656,0.002531517,0.001120757,0.1109771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006327468,"about_ca_system_score_gemma":0.0005608863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009406523,"about_ca_topic_score_gemma":0.02168528,"domain_scores_codex":[0.999745,0.00004852529,0.00001107532,0.00005754821,0.00009208815,0.0000457281],"domain_scores_gemma":[0.9994424,0.00007123168,0.00002055063,0.0001424473,0.0001875844,0.0001358411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000195323,0.00002562894,0.0003303206,0.000255427,0.00001634397,0.0002470638,0.0003709077,0.0002716516,0.002685944,0.005288633,0.898994,0.09131882],"study_design_scores_gemma":[0.00002213921,0.00003159013,0.001085837,0.00009788617,0.000009862234,0.0001335779,0.0002265264,0.0006569502,0.0006620367,0.001131025,0.9959233,0.00001929374],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01145379,0.004848419,0.05687018,0.009953771,0.01320452,0.0008819717,0.04562143,0.03026721,0.8268987],"genre_scores_gemma":[0.0845676,0.004706105,0.07366222,0.003594681,0.002846802,0.0006856547,0.06705845,0.006373651,0.756505],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3247305,"threshold_uncertainty_score":0.96319,"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."}}