{"id":"W7005701311","doi":"","title":"Review: An Environmental History of Canada","year":2015,"lang":"en","type":"article","venue":"Digital Commons - Michigan Tech (Michigan Technological University)","topic":"Biological and pharmacological studies of plants","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Environmental history; Environmental impact assessment; Government (linguistics); Environmental pollution","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"],"consensus_categories":[],"category_scores_codex":[0.000157696,0.0003293745,0.0007167754,0.0001330133,0.00008420457,0.000006684704,0.000688595,0.0003035103,0.0001330771],"category_scores_gemma":[0.0002380643,0.000252665,0.0001587953,0.0003626814,0.0009583569,0.0001706725,0.0005560211,0.0006417293,0.00001947135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004856194,"about_ca_system_score_gemma":0.000324147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001251756,"about_ca_topic_score_gemma":0.007485893,"domain_scores_codex":[0.9982743,0.0000643407,0.0003525972,0.0004989803,0.000336902,0.000472858],"domain_scores_gemma":[0.9986603,0.00009209265,0.0001903058,0.0004477485,0.00006241788,0.000547143],"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":[0.008179237,0.02326108,0.2399406,0.002322348,0.002595215,0.01305706,0.0007472725,0.00001768337,0.1187919,0.02802461,0.4051031,0.1579599],"study_design_scores_gemma":[0.001469517,0.001825351,0.004686316,0.0002395567,0.0001547262,0.0001294778,0.00101455,0.00001614193,0.002254623,0.0006174395,0.9870777,0.0005145713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9388731,0.008615255,0.00003442647,0.001551824,0.0001207652,0.000577656,0.0003936113,0.0004592662,0.04937417],"genre_scores_gemma":[0.9939011,0.001263038,0.0001927651,0.001516561,0.00002150485,0.000002244438,0.0001935172,0.00001372226,0.002895495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5819746,"threshold_uncertainty_score":0.9999925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03469076345597299,"score_gpt":0.2091981726855613,"score_spread":0.1745074092295883,"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."}}