{"id":"W7000633953","doi":"","title":"Gaz M?tro partners with SWITCH to promote Quebec's green economy","year":2014,"lang":"en","type":"other","venue":"","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Green economy; Work (physics); Production (economics); Government (linguistics); Greenhouse gas","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":[0.001496444,0.0005469249,0.000340963,0.001267638,0.007640355,0.005181435,0.001074199,0.002980309,0.1437578],"category_scores_gemma":[0.003015993,0.0002888878,0.0008070085,0.001236308,0.001010613,0.001196142,0.001768768,0.002850068,0.01072209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0372765,"about_ca_system_score_gemma":0.08313528,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9784803,"about_ca_topic_score_gemma":0.9910566,"domain_scores_codex":[0.9986289,0.0001050536,0.00001592021,0.000120094,0.0004748415,0.0006551575],"domain_scores_gemma":[0.9968593,0.0001755954,0.00008088023,0.0001399899,0.001521054,0.00122314],"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":[0.0001371049,0.0001645635,0.0125011,0.00008407557,0.00003156923,0.0002510897,0.0003708469,0.0004914739,0.0004835577,0.02221982,0.9122804,0.05098449],"study_design_scores_gemma":[0.00005062954,0.00003240559,0.02558212,0.0001038013,0.00001508436,0.00005876457,0.001005011,0.0006115676,0.0004608604,0.001051451,0.9709991,0.00002927663],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02840028,0.002579655,0.001412301,0.04894007,0.002157697,0.0004003778,0.018109,0.0008973298,0.8971033],"genre_scores_gemma":[0.06375504,0.0005704053,0.001121972,0.005904619,0.0001058636,0.00007413929,0.002235114,0.0001459978,0.9260868],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1437578,"threshold_uncertainty_score":0.4809179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02494007809180567,"score_gpt":0.2396495555834701,"score_spread":0.2147094774916644,"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."}}