{"id":"W4206769367","doi":"10.1163/9789004322714_cclc_2018-0214-037","title":"In Canada, Pipeline Politics Threaten National Climate Plan","year":2019,"lang":"en","type":"dataset","venue":"Climate Change and Law Collection","topic":"American Environmental and Regional History","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Politics; Plan (archaeology); Political science; Pipeline (software); Geography; Archaeology; Law; Computer science","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":[0.001109139,0.001627427,0.001266215,0.006620487,0.002540937,0.004705524,0.002503891,0.001878416,0.05601687],"category_scores_gemma":[0.01005601,0.0009000577,0.001256056,0.01823253,0.0006551085,0.001391853,0.001903773,0.002328177,0.0319441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01391717,"about_ca_system_score_gemma":0.02992252,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9304825,"about_ca_topic_score_gemma":0.9639412,"domain_scores_codex":[0.9981213,0.0001387578,0.0001382652,0.0002884817,0.0007437952,0.0005693671],"domain_scores_gemma":[0.9926716,0.001251497,0.0007100622,0.0009604575,0.003608941,0.0007975959],"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":[0.00003219803,0.00000819997,0.001567669,0.0001606091,0.00001595632,0.00001319332,0.000028217,0.0001637587,0.00001753717,0.000666393,0.9959551,0.001371229],"study_design_scores_gemma":[0.0001032185,0.000006817344,0.01780786,0.0002897534,0.00003365957,0.00002357039,0.0002113958,0.0003917682,0.0001975856,0.0007434798,0.9801632,0.00002778635],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001390818,0.00004504234,0.00001686543,0.00008849014,0.00001593762,0.000003756011,0.9984956,0.00007186195,0.001123342],"genre_scores_gemma":[0.0009339989,0.0001030182,0.00009423181,0.0000829066,0.000007495721,0.00002608341,0.9964262,0.00003897872,0.002287104],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06951749,"threshold_uncertainty_score":0.1873951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03269278842524731,"score_gpt":0.227306137298019,"score_spread":0.1946133488727717,"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."}}