{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000215841,0.00007373939,0.00012967,0.00004305178,0.0002550592,0.00005608787,0.0001854153,0.00004629808,0.0002405808],"category_scores_gemma":[0.0001989039,0.00005672496,0.00005911251,0.00008982122,0.00009079223,0.00005534973,0.00005808677,0.0001918308,0.001129354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001046088,"about_ca_system_score_gemma":0.000007776958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00164671,"about_ca_topic_score_gemma":0.007939907,"domain_scores_codex":[0.9994218,0.000002741812,0.0002015346,0.0001503135,0.00001884243,0.000204795],"domain_scores_gemma":[0.9994916,0.00008736548,0.00007759307,0.000286551,0.00001510134,0.00004183654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001045893,0.00004499072,0.4506409,0.000007363525,0.00005304721,0.000004344331,0.001390318,6.224156e-7,0.0006340558,0.5151153,0.02577998,0.006318558],"study_design_scores_gemma":[0.0001895721,0.00001772852,0.1897159,0.000001469915,0.000001649088,0.000004100445,0.00002013137,0.00004091447,0.00002066752,0.01280734,0.7970841,0.00009646658],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8261633,0.001340498,0.00003734943,0.00307064,0.003358947,0.00009783453,0.00002131,0.00003828847,0.1658719],"genre_scores_gemma":[0.9913614,0.0002305708,0.00007726411,0.0002289532,0.0003811526,0.00002382489,0.000002105628,0.00001130465,0.007683435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7713041,"threshold_uncertainty_score":0.9996484,"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."}}