{"id":"W2295150912","doi":"10.13140/rg.2.1.3492.5680","title":"Ontario’s Climate Change Mitigation and Low Carbon Economy Act: Pious Aspirations or New Dawn?","year":2016,"lang":"en","type":"article","venue":"Columbia Academic Commons (Columbia University)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transparency (behavior); Offset (computer science); Climate change; Key (lock); Carbon offset; Climate change mitigation; Low-carbon economy; Business; Economy; Economics; Political science; Computer science; Computer security; Law","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002462009,0.0001382198,0.000256352,0.0001365159,0.001065046,0.0002102072,0.0004943642,0.0003719757,0.001197731],"category_scores_gemma":[0.0001457696,0.000210303,0.00007594829,0.0005444192,0.0004610153,0.0008765456,0.0001645717,0.0003738217,0.00003770945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001513071,"about_ca_system_score_gemma":0.001504324,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9417867,"about_ca_topic_score_gemma":0.9993542,"domain_scores_codex":[0.9983621,0.0001555126,0.0002251494,0.0004374367,0.0001822419,0.00063757],"domain_scores_gemma":[0.9985704,0.000241441,0.0002204327,0.0002944753,0.00006818846,0.0006050762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008820973,0.00008210445,0.6596566,0.00004609689,0.00009182737,0.0001238545,0.02258531,5.713106e-7,0.000131261,0.02296889,0.2185501,0.0756752],"study_design_scores_gemma":[0.0009572576,0.00006184413,0.158268,0.0001427258,0.00005887736,0.00000452823,0.0004081162,0.000008392418,0.00000403597,0.001776989,0.8379787,0.000330531],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8108514,0.0000533888,0.0000113088,0.01162042,0.0002418809,0.0008241655,0.0002062318,0.0001217221,0.1760695],"genre_scores_gemma":[0.7215667,0.0004460449,0.00002731531,0.0009857827,0.0003770763,0.000008455716,0.000004826542,0.00001739687,0.2765664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6194286,"threshold_uncertainty_score":0.9997153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03830986613954737,"score_gpt":0.2374813855486107,"score_spread":0.1991715194090633,"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."}}