{"id":"W7005581020","doi":"","title":"Reading poetry and its paratexts for evidence of fair dealing: Mary Dalton’s Hooking, cento poetics, and copyright law","year":2020,"lang":"en","type":"report","venue":"AUSpace (Athabasca University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poetry; Reading (process); Publishing; Copyright law; Fair use; De facto; Fair dealing","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000847476,0.0009252604,0.001527234,0.001225269,0.0004472822,0.0001449907,0.0008370932,0.0008062039,0.00006720467],"category_scores_gemma":[0.0007167679,0.001088495,0.0003309318,0.001032279,0.000474916,0.001154762,0.001103374,0.0007690914,0.0000556726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001180242,"about_ca_system_score_gemma":0.001331626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001445147,"about_ca_topic_score_gemma":0.001288773,"domain_scores_codex":[0.9954728,0.0002536501,0.0005815183,0.001669866,0.001146039,0.0008761258],"domain_scores_gemma":[0.9951308,0.0008110459,0.001420534,0.0007120625,0.001203224,0.0007223092],"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":[0.006651851,0.0008461332,0.05392313,0.04362345,0.006474206,0.005143465,0.01165555,0.00007946404,0.03141499,0.2202416,0.6188022,0.001143907],"study_design_scores_gemma":[0.002178795,0.000836138,0.00186045,0.007322263,0.002255467,0.0002126494,0.001351913,0.0003207157,0.009220905,0.0002488226,0.972203,0.001988902],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2104517,0.08851021,0.002359584,0.006518913,0.004948982,0.01593968,0.01248716,0.002669402,0.6561144],"genre_scores_gemma":[0.9024395,0.01420191,0.001878467,0.00009029105,0.0004235306,0.000006596094,0.0004024158,0.0004436251,0.0801137],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6919878,"threshold_uncertainty_score":0.9991565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05315929122096189,"score_gpt":0.2908617477575874,"score_spread":0.2377024565366256,"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."}}