{"id":"W4312323615","doi":"10.1057/978-1-349-96053-8_5423","title":"Media@McGill","year":2022,"lang":"en","type":"book-chapter","venue":"The Grants Register 2023","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Universiteit Maastricht","keywords":"Art","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003528154,0.001941929,0.0006087021,0.00210432,0.003528483,0.007223023,0.001584911,0.002457628,0.8983284],"category_scores_gemma":[0.00164417,0.0009039798,0.000562987,0.002341036,0.0009548294,0.003113543,0.003361088,0.002190384,0.7726472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00333705,"about_ca_system_score_gemma":0.003449774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08670935,"about_ca_topic_score_gemma":0.2951989,"domain_scores_codex":[0.9996358,0.00003899375,0.000007814638,0.00006486366,0.0001677522,0.00008462142],"domain_scores_gemma":[0.99907,0.0001349222,0.00003259633,0.0001304053,0.0002325438,0.0003994982],"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":[0.00002034453,0.00001260804,0.0000375392,0.00005535747,0.000001304648,0.00003020096,0.00005363067,0.00002858519,0.0001250564,0.004047902,0.9535916,0.04199585],"study_design_scores_gemma":[0.000004428675,0.00000532921,0.000108128,0.0000422718,0.000001708004,0.00001309974,0.00006818462,0.00001941389,0.00004915019,0.0006365733,0.9990466,0.000004993122],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00008535801,0.0004058285,0.0000808693,0.0003696324,0.0003214132,0.00001519101,0.0005053368,0.0003788825,0.9978375],"genre_scores_gemma":[0.0003283052,0.0001390559,0.00004745327,0.0001991717,0.00002734522,0.000007594935,0.000103263,0.0001220737,0.9990256],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1016716,"threshold_uncertainty_score":0.1724093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07907222568783201,"score_gpt":0.2576041735326759,"score_spread":0.1785319478448439,"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."}}