{"id":"W2151096142","doi":"10.7202/039369ar","title":"Complicity Through Montage","year":2010,"lang":"en","type":"article","venue":"Ethnologies","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Complicity; Filmmaking; Representation (politics); Aesthetics; Citizen journalism; Foundation (evidence); Sociology; Epistemology; Computer science; Linguistics; Visual arts; Art; History; Philosophy; Political science; Archaeology; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001078975,0.00008613735,0.0002248402,0.00004564047,0.00009259007,0.00001856819,0.000180141,0.00009704889,0.0002569098],"category_scores_gemma":[0.0003595183,0.00008401294,0.00005457683,0.0000824352,0.0001607721,0.0001006351,0.0001105419,0.0002554655,0.0008265637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009351571,"about_ca_system_score_gemma":0.000003441947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004361917,"about_ca_topic_score_gemma":0.0005099116,"domain_scores_codex":[0.9993964,0.000002227913,0.0001917611,0.0002026122,0.00001355581,0.0001934226],"domain_scores_gemma":[0.9995599,0.00005841397,0.00008213219,0.0002693711,0.00001235913,0.00001776401],"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":[0.00000571261,0.00005983346,0.1104349,0.00001709511,0.00004647204,0.000005020535,0.002803458,0.000002256656,0.002468502,0.8559597,0.02604016,0.002156863],"study_design_scores_gemma":[0.0005241763,0.00006540624,0.1270584,0.000004226816,0.000003886532,0.000003957196,0.002202247,0.00003990075,0.009300655,0.2882631,0.5721694,0.0003646406],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8486372,0.001385381,0.0004231744,0.004886828,0.001131492,0.00008473315,0.00003805223,0.0001950349,0.1432181],"genre_scores_gemma":[0.9939541,0.0003307299,0.002469923,0.0002924621,0.00009679666,0.00002014902,0.000003351641,0.0000078606,0.002824662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5676966,"threshold_uncertainty_score":0.9999514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06064913060129366,"score_gpt":0.2688379819624351,"score_spread":0.2081888513611414,"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."}}