{"id":"W7012912341","doi":"","title":"The Fast Runner","year":2010,"lang":"en","type":"article","venue":"Insecta mundi","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Storytelling; Feature film; Legend; EPIC; Movie theater; Filmmaking; Front (military); Video production","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":[0.000815741,0.0008483681,0.0003102107,0.0008720061,0.01363396,0.007370946,0.0009005153,0.002106058,0.09068076],"category_scores_gemma":[0.002153799,0.0003564186,0.0003385438,0.0006243759,0.003036503,0.00569757,0.005695782,0.003915962,0.01726837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002955598,"about_ca_system_score_gemma":0.003288853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03578172,"about_ca_topic_score_gemma":0.1040577,"domain_scores_codex":[0.9989273,0.0001948272,0.00002378768,0.0002338988,0.0002649713,0.000355245],"domain_scores_gemma":[0.999032,0.0000676756,0.00003855793,0.00008691916,0.0002448563,0.0005299565],"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":[0.00008464483,0.00006225339,0.001243572,0.0001399358,0.000009828832,0.001040142,0.03680979,0.00004902741,0.001662436,0.08860899,0.7929565,0.07733288],"study_design_scores_gemma":[0.000002376426,0.00001557697,0.0005785121,0.00007990082,0.000002386918,0.0002957488,0.008207172,0.00001818515,0.0001470219,0.0007542534,0.9898896,0.000009401262],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02228779,0.004145672,0.001509912,0.01918307,0.008453038,0.0000778897,0.0003679514,0.0004425142,0.9435322],"genre_scores_gemma":[0.0986083,0.002500625,0.001478146,0.005147873,0.0008773984,0.00004445207,0.0003240789,0.00053469,0.8904845],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09068076,"threshold_uncertainty_score":0.3033574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01923152562499514,"score_gpt":0.2091521056839755,"score_spread":0.1899205800589804,"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."}}