{"id":"W6913301300","doi":"10.5683/sp3/whxjy9","title":"Replication Data for: Environmental concern within Canada","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Relation (database); Politics; Environmental data; Replication (statistics); Field (mathematics); Environmental impact assessment","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006496094,0.0003322694,0.0003374078,0.00006459295,0.0002431345,0.00004319527,0.002850611,0.0001325308,0.004935776],"category_scores_gemma":[0.0003406887,0.000372648,0.00004176489,0.00008472666,0.0000872001,0.000129906,0.00117808,0.0003494661,0.00002090324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001874027,"about_ca_system_score_gemma":0.001312606,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993596,"about_ca_topic_score_gemma":0.9976588,"domain_scores_codex":[0.9969763,0.0001126444,0.0004528639,0.001293799,0.0008438312,0.0003205814],"domain_scores_gemma":[0.9888723,0.0001072053,0.0006357699,0.01023222,0.00001169254,0.0001407587],"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":[0.00004724118,0.0000398166,0.000007499138,0.00003329179,0.00009505831,0.00001956419,0.000007459355,0.00001364613,0.00001780359,0.000009030077,0.9994872,0.0002223698],"study_design_scores_gemma":[0.0003205937,0.00003243599,0.00007581687,0.00000755121,0.0002233371,0.00002131443,0.00006786671,0.00008396832,0.00001991254,0.00001001705,0.9987352,0.0004019623],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002290044,0.0001979031,0.00000174238,0.0001180864,0.0002223765,0.000895294,0.9983918,0.00004578206,0.000124706],"genre_scores_gemma":[0.000002401028,0.00005900425,0.0000606935,0.0005164086,0.000233611,0.0004226638,0.9983345,0.0001245361,0.0002462212],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.008938425,"threshold_uncertainty_score":0.9998726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05245824635964393,"score_gpt":0.2917908406220822,"score_spread":0.2393325942624382,"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."}}