{"id":"W2996492710","doi":"","title":"Library Guides: Welcome to Tkaronto: Land Acknowledgements","year":2019,"lang":"en","type":"libguides","venue":"","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Library science; Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008731665,0.0003393696,0.000440622,0.00002462595,0.0001597253,0.0002422292,0.0007944182,0.0003509866,0.0371554],"category_scores_gemma":[0.00001615893,0.00004598048,0.0001990996,0.0001744207,0.0000320451,0.0002513357,0.0003904685,0.0001941333,0.009939125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002146588,"about_ca_system_score_gemma":0.00002531802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003667321,"about_ca_topic_score_gemma":0.002342784,"domain_scores_codex":[0.998387,0.00002817556,0.0003479246,0.0005045576,0.000288487,0.0004438959],"domain_scores_gemma":[0.9994022,0.00006355181,0.00009937445,0.0001283163,0.0000839709,0.0002226442],"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":[0.000008926105,0.00004104339,0.001255229,0.00003296169,0.00003768663,0.000003868284,0.00003111818,2.480211e-7,0.00003779652,0.00003630594,0.9575632,0.0409516],"study_design_scores_gemma":[0.00009565916,0.000228987,0.003611088,0.000119452,0.00001390934,0.000001260351,0.00003512796,0.000002229902,0.00008644311,0.000342554,0.9950806,0.0003826568],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005970935,0.000612681,5.867369e-7,0.01289412,0.01631659,0.001057628,0.0006898212,0.0004200274,0.9620376],"genre_scores_gemma":[0.0003233902,0.0008713988,0.0001076736,0.002693094,0.00891701,0.00001693388,0.001528008,0.000004096492,0.9855384],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04056894,"threshold_uncertainty_score":0.9908317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01859569852497414,"score_gpt":0.2273663424430138,"score_spread":0.2087706439180397,"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."}}