{"id":"W6903343990","doi":"10.11575/sppp.v10i0.43053.g30814","title":"Big and Little Feet Provincial Profiles: Saskatchewan","year":2017,"lang":"en","type":"article","venue":"University of Calgary","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Consumption (sociology); Investment (military); Production (economics); Goods and services; Government (linguistics); Emissions trading","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003136831,0.0005977639,0.0003152658,0.002447919,0.003269004,0.003097473,0.0008378314,0.0005451709,0.08989751],"category_scores_gemma":[0.0009717733,0.0004270746,0.0004202878,0.01234445,0.0004730323,0.0009206403,0.001813498,0.0008831586,0.01618282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02453493,"about_ca_system_score_gemma":0.04813493,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.977466,"about_ca_topic_score_gemma":0.9929399,"domain_scores_codex":[0.9994844,0.00003002044,0.00002576128,0.00008445865,0.0001703039,0.0002051186],"domain_scores_gemma":[0.9988451,0.00005325842,0.00005347839,0.00008764673,0.0007035598,0.0002569074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002710388,0.00005621641,0.06007748,0.0005702488,0.00006706366,0.0007428833,0.002161652,0.001879222,0.002728574,0.01756834,0.7852226,0.1286547],"study_design_scores_gemma":[0.00002184793,0.00001484331,0.1205952,0.0001965193,0.00001689082,0.0001206773,0.004773827,0.0006750337,0.0006593454,0.00126288,0.8715844,0.00007838055],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.05837277,0.002482279,0.002059554,0.003910206,0.000825059,0.0004479678,0.5432967,0.001019728,0.3875857],"genre_scores_gemma":[0.1708544,0.004403211,0.006321852,0.001943254,0.00009396106,0.0004889336,0.205992,0.0009770185,0.6089253],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08989751,"threshold_uncertainty_score":0.3007371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006518866219512213,"score_gpt":0.1877657394518867,"score_spread":0.1812468732323745,"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."}}