{"id":"W7034095264","doi":"","title":"Strengthening academic integrity in Canada: Implications for British Columbia","year":2019,"lang":"en","type":"other","venue":"Arca (British Columbia Electronic Library Network)","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Academic integrity; Agency (philosophy); Context (archaeology); Vulnerability (computing); Data integrity","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002381023,0.0002585138,0.0007175226,0.00002474563,0.0002411248,0.0003132026,0.001077533,0.0008941265,0.2396436],"category_scores_gemma":[0.00004700843,0.0006238011,0.0001391263,0.0004526151,0.0002323468,0.0002804483,0.0006366381,0.002087582,0.00008508093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009083342,"about_ca_system_score_gemma":0.002055997,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958099,"about_ca_topic_score_gemma":0.9999729,"domain_scores_codex":[0.9960246,0.0002129364,0.0006196648,0.001127659,0.000164958,0.001850168],"domain_scores_gemma":[0.9987389,0.0002478074,0.0003069183,0.0005192164,0.000006617503,0.0001805223],"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":[0.000005590751,0.0000300532,0.2983415,0.00001921056,0.00004277893,0.00001024962,0.00000220242,0.00002874255,3.298845e-7,0.000543235,0.6763472,0.02462894],"study_design_scores_gemma":[0.0007432675,0.0001364113,0.06815723,0.0002324545,0.00003978498,0.0001494099,0.000007514923,0.0001160949,1.573433e-7,0.06749568,0.8622609,0.0006610847],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009053499,0.004755961,0.000009456207,0.0005985124,0.00112969,0.003020966,0.0007986051,0.0003693258,0.980264],"genre_scores_gemma":[0.3423045,0.003141813,0.0003962698,0.001511862,0.0006177847,0.0006019642,0.001080021,0.0004073771,0.6499385],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3332509,"threshold_uncertainty_score":0.9996213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005755372184682493,"score_gpt":0.1912365446595783,"score_spread":0.1854811724748958,"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."}}