{"id":"W7027333402","doi":"","title":"Canada welcomes new members to the Powering Past Coal Alliance at COP25 - Commodities (COMMODIT) News","year":2019,"lang":"en","type":"other","venue":"","topic":"European and International Law Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Alliance; Coal; Government (linguistics); China","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":[0.001284011,0.0006423193,0.0005007951,0.0016223,0.007826416,0.01156811,0.001431563,0.009249279,0.2085007],"category_scores_gemma":[0.003890629,0.0004447497,0.000828704,0.001689914,0.001637254,0.001745947,0.002160754,0.006422571,0.03754633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01975222,"about_ca_system_score_gemma":0.05015425,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8020545,"about_ca_topic_score_gemma":0.9430546,"domain_scores_codex":[0.9974306,0.00006654306,0.00002693415,0.00009902253,0.001623965,0.0007528545],"domain_scores_gemma":[0.9967212,0.0002792602,0.00005805677,0.0001044299,0.001455997,0.001380982],"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":[0.000008857431,0.000007852474,0.00008522703,0.00001515606,0.000001151355,0.00005720448,0.00003601028,0.000016889,0.00003356304,0.002864349,0.9931729,0.003700731],"study_design_scores_gemma":[0.000003692642,0.000002536805,0.000396753,0.00002327609,0.000001369478,0.000008538127,0.0001452014,0.00002269017,0.00003845517,0.000350725,0.9990013,0.000005438936],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001745164,0.002550573,0.0003595456,0.08849743,0.01982447,0.0001456167,0.005000385,0.0005704977,0.8813063],"genre_scores_gemma":[0.0033201,0.0005618587,0.0001188332,0.007933999,0.0007264761,0.00001462409,0.0005717045,0.0001068025,0.9866456],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2085007,"threshold_uncertainty_score":0.6975043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02719379019504591,"score_gpt":0.2724761389050241,"score_spread":0.2452823487099782,"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."}}