{"id":"W4285068759","doi":"10.29173/scancan158","title":"“Acknowledgements and Permissions”","year":2019,"lang":"en","type":"article","venue":"Scandinavian-Canadian Studies","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Manitoba; National Endowment for the Arts","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.01353212,0.0007298663,0.0008601496,0.003234542,0.007144074,0.007121894,0.003166515,0.006025109,0.3349445],"category_scores_gemma":[0.07500942,0.0007816729,0.0007330306,0.004405993,0.003450212,0.004710408,0.004784191,0.005492248,0.1601636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004949601,"about_ca_system_score_gemma":0.02039694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03277088,"about_ca_topic_score_gemma":0.05002698,"domain_scores_codex":[0.9800656,0.006108181,0.002255143,0.001326167,0.006714221,0.003530686],"domain_scores_gemma":[0.9382203,0.01812681,0.001755056,0.01274243,0.02472249,0.004432912],"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":[0.0000495676,0.00001682937,0.0001859914,0.0001267154,0.000002046238,0.0001116158,0.001216165,0.00001446961,0.0003388129,0.0469601,0.9362516,0.01472617],"study_design_scores_gemma":[0.00001138474,0.000005191963,0.0007933945,0.00009483733,0.000002251494,0.00007493197,0.0007107829,0.00003219059,0.0002022413,0.002739023,0.995322,0.00001165428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003568539,0.001126528,0.005332683,0.05924867,0.03971478,0.001272429,0.01182595,0.001299882,0.8766105],"genre_scores_gemma":[0.03658037,0.0007256793,0.003741952,0.01894841,0.005405666,0.001687863,0.006205632,0.0006408647,0.9260636],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6650555,"threshold_uncertainty_score":0.9486209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03527309749034642,"score_gpt":0.348235571198739,"score_spread":0.3129624737083926,"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."}}