{"id":"W4231002671","doi":"10.1525/9780520957411-033","title":"OPEN LETTER TO THE EXPERIMENTAL FILM CONGRESS: LET’S SET THE RECORD STRAIGHT (Canada, 1989)","year":2019,"lang":"en","type":"letter","venue":"","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Genealogy; History; Computer science; Programming language","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":[0.002304462,0.0009142586,0.001325289,0.001121479,0.02662281,0.01079669,0.002583429,0.04982422,0.06539584],"category_scores_gemma":[0.01056609,0.001200177,0.001017291,0.001287385,0.002460215,0.003033246,0.002300951,0.02652428,0.01682453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02305442,"about_ca_system_score_gemma":0.04340111,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7481087,"about_ca_topic_score_gemma":0.8777546,"domain_scores_codex":[0.9966782,0.0001944993,0.0001405858,0.0004688816,0.001183874,0.001334019],"domain_scores_gemma":[0.9958074,0.001180304,0.000132011,0.0001307165,0.001799018,0.0009504928],"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":[0.00003354395,0.00002240599,0.0002038295,0.00001600283,0.000003414605,0.0001516862,0.0001468262,0.00001974512,0.00009894599,0.004208061,0.9934806,0.001614904],"study_design_scores_gemma":[0.00004562793,0.00002027489,0.002393219,0.000087953,0.00001242929,0.00004309165,0.001016051,0.0001450255,0.0002926161,0.001241968,0.994648,0.00005376023],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.005243114,0.004945803,0.0003319716,0.7530597,0.03480031,0.0005308848,0.003160558,0.0002340537,0.1976936],"genre_scores_gemma":[0.009008607,0.0007441054,0.0002276881,0.3044577,0.002448894,0.0002360978,0.0002517159,0.0000986267,0.6825266],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2518913,"threshold_uncertainty_score":0.5067495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05418459148181513,"score_gpt":0.246291477789481,"score_spread":0.1921068863076659,"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."}}