{"id":"W6986914808","doi":"","title":"Report on the Mayor's mission to France - Montréal is committed to fighting against climate change and strengthens international partnerships - Commodities (COMMODIT) News","year":2015,"lang":"en","type":"other","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Climate change; Government (linguistics); Global warming","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":[0.001544473,0.0009080644,0.000413243,0.001327018,0.006042256,0.007168708,0.001206039,0.006996443,0.1401097],"category_scores_gemma":[0.003664485,0.000490848,0.0008911514,0.001229936,0.001358418,0.001562099,0.002001056,0.005570408,0.01646706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01686571,"about_ca_system_score_gemma":0.04725048,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7940457,"about_ca_topic_score_gemma":0.9016852,"domain_scores_codex":[0.9980964,0.00008859338,0.00002491951,0.00008304534,0.001122198,0.0005848753],"domain_scores_gemma":[0.9977356,0.0001803551,0.00006099726,0.00007546947,0.001009356,0.0009382395],"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":[0.000008645072,0.00001041831,0.000153485,0.00001900216,0.000001907354,0.00004068756,0.00004163012,0.00002037272,0.00005007573,0.003835417,0.9929361,0.002882173],"study_design_scores_gemma":[0.00000891217,0.000005878316,0.002508216,0.00002742582,0.000002533876,0.00001077865,0.0001187739,0.00003829844,0.00006228587,0.0002076914,0.9970013,0.000007859533],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003268503,0.005823804,0.000335893,0.2024826,0.02058955,0.0002479817,0.008935795,0.0006975476,0.7576183],"genre_scores_gemma":[0.007285573,0.001107647,0.0001894727,0.01012,0.001204361,0.00004094556,0.00105982,0.0001310163,0.9788612],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2059543,"threshold_uncertainty_score":0.4687137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1073860846529425,"score_gpt":0.3197953243949316,"score_spread":0.2124092397419891,"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."}}