{"id":"W7029936128","doi":"","title":"Looking at Canada as a US Environmental Historian","year":2020,"lang":"en","type":"article","venue":"Digital Commons - Michigan Tech (Michigan Technological University)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Agency (philosophy); Field (mathematics); Perspective (graphical)","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","sts"],"consensus_categories":[],"category_scores_codex":[0.0000772697,0.0002540028,0.0003264015,0.0006787652,0.002014357,0.0002868838,0.00129058,0.0003484368,0.0006063126],"category_scores_gemma":[0.0002261655,0.0003471156,0.0001686109,0.001044448,0.001875193,0.0004332715,0.0005889154,0.0005967199,0.0002503701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002709374,"about_ca_system_score_gemma":0.001190144,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5445527,"about_ca_topic_score_gemma":0.9921919,"domain_scores_codex":[0.9979789,0.00006858398,0.0002233598,0.0005854366,0.0005070367,0.0006367246],"domain_scores_gemma":[0.9987421,0.0000818573,0.00014736,0.0003559855,0.00002225599,0.0006504652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009046354,0.001469639,0.0624189,0.0001360927,0.0007672919,0.01775857,0.02853106,0.0000421973,0.01733781,0.7364038,0.06519322,0.06903676],"study_design_scores_gemma":[0.000308056,0.00009156301,0.0004301084,0.00001153712,0.00002884477,0.00001043668,0.0059867,0.000003692994,0.0002668356,0.0004223867,0.9920056,0.0004341834],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7698867,0.0001351062,0.00002916109,0.004765818,0.0001489673,0.0002681211,0.0003239751,0.000676203,0.223766],"genre_scores_gemma":[0.9838385,0.00008530667,0.00003588854,0.0007050546,0.00007233905,0.000001200443,0.0000556208,0.00002385844,0.01518226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9268124,"threshold_uncertainty_score":0.9998981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007261922246419444,"score_gpt":0.1558702317543023,"score_spread":0.1486083095078828,"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."}}