{"id":"W6963220571","doi":"10.17616/r31njmh8","title":"Newfoundland and Labrador Open Data","year":2019,"lang":"en","type":"other","venue":"Registry of Research Repositories","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Open government; Open data; Public access; Open sea","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","scholarly_communication","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.002439031,0.0003700471,0.0008665015,0.0004789908,0.0001831893,0.001048616,0.006120759,0.0005485839,0.0002101257],"category_scores_gemma":[0.001519993,0.000332156,0.00004105703,0.0006545163,0.001860181,0.0004235309,0.009095219,0.0009107723,0.0005544123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001563743,"about_ca_system_score_gemma":0.001127223,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07907673,"about_ca_topic_score_gemma":0.006159325,"domain_scores_codex":[0.995091,0.0005460114,0.0004113167,0.00135215,0.001931992,0.0006675215],"domain_scores_gemma":[0.9914006,0.0004863475,0.0005467927,0.006934779,0.0003787261,0.0002527527],"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":[0.0001735805,0.00006842285,0.006652495,0.001521503,0.0003074278,0.0001226253,0.00007868662,6.098963e-8,0.0008573615,0.001669141,0.987969,0.000579722],"study_design_scores_gemma":[0.0006129884,0.0001456638,0.0006144819,0.001631227,0.00004170552,0.0001080619,0.0003062164,0.000008511124,0.0001923708,0.0001096815,0.9959098,0.0003192531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003118782,0.01119673,0.000003819355,0.0002509746,0.0007672199,0.001661938,0.002209052,0.0001660099,0.9834324],"genre_scores_gemma":[0.001159598,0.0007075164,0.001509224,0.000002911708,0.001586357,0.00003101992,0.0005819348,0.0009999974,0.9934214],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0729174,"threshold_uncertainty_score":0.9999884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1527614427344475,"score_gpt":0.4481122046866995,"score_spread":0.295350761952252,"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."}}