{"id":"W7028565072","doi":"","title":"Ep.151 - Trained To Ignore: The Media and First Nations","year":2016,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Historical Linguistics and Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Misrepresentation; Mainstream; Happening; Film director; Confidentiality","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":[0.0009088927,0.0006033962,0.0003113648,0.001209433,0.004436801,0.006621466,0.0009307967,0.00582667,0.2641946],"category_scores_gemma":[0.004190738,0.0004529879,0.0002640054,0.002282688,0.002073957,0.005639745,0.002515869,0.003437181,0.1288147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003425695,"about_ca_system_score_gemma":0.005489993,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08873323,"about_ca_topic_score_gemma":0.1635965,"domain_scores_codex":[0.9993461,0.0001268028,0.00005181236,0.00008098037,0.0002700522,0.0001242642],"domain_scores_gemma":[0.998874,0.000400722,0.00008641656,0.0001195783,0.0003434436,0.000175821],"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":[0.00001575675,0.00001125678,0.0001457109,0.0001262211,0.000001286796,0.00009079903,0.0009684077,0.00001944506,0.00007034804,0.03178474,0.9403381,0.02642785],"study_design_scores_gemma":[0.000003340275,0.000003077699,0.0009202076,0.0003086721,0.00000160959,0.00005256728,0.0005948408,0.000009471919,0.00007612233,0.002477165,0.9955485,0.000004459479],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004789711,0.007161649,0.0001779185,0.008932772,0.001088149,0.00003803724,0.002074716,0.0001449161,0.9799029],"genre_scores_gemma":[0.006266442,0.003473076,0.0001695274,0.003382978,0.0003657418,0.00007958738,0.0006515223,0.0002193893,0.9853916],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9112668,"threshold_uncertainty_score":0.8838191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007939335932768042,"score_gpt":0.1814755828139602,"score_spread":0.1735362468811922,"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."}}