{"id":"W7010201457","doi":"","title":"Hydro-Québec program: more than $360,000 for projects to protect and enhance natural environments","year":2023,"lang":"en","type":"other","venue":"","topic":"Water Resources and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Government (linguistics); Natural resource; Production (economics)","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":[],"consensus_categories":[],"category_scores_codex":[0.0001510822,0.0002292604,0.0002432786,0.00006232541,0.0001839983,0.0001002873,0.0002949264,0.0001922143,0.0001947353],"category_scores_gemma":[0.00006971996,0.0001790968,0.00007036139,0.0001407483,0.0001712517,0.00005202519,0.00009668386,0.0001249793,0.00008611103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001097348,"about_ca_system_score_gemma":0.00007252709,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1679732,"about_ca_topic_score_gemma":0.386545,"domain_scores_codex":[0.998467,0.00003319157,0.0001268592,0.0005091566,0.0003864505,0.0004773428],"domain_scores_gemma":[0.9995165,0.00003002966,0.0001226759,0.0001941914,0.000006429294,0.000130133],"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":[0.0001086501,0.0002096745,0.002627324,0.0003902659,0.0002243379,0.00002896162,0.03040884,0.000002462647,0.000114638,0.0005890143,0.7591934,0.2061024],"study_design_scores_gemma":[0.0001343208,0.0001044301,0.0004652168,0.0001462855,0.00001152685,3.301191e-7,0.0003701151,0.00001226821,0.0001479355,0.00002306822,0.998311,0.0002734883],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02651826,0.004059958,0.0002794284,0.0164015,0.00163244,0.04350826,0.0004760848,0.004102273,0.9030218],"genre_scores_gemma":[0.01047194,0.0001238956,0.0008835659,0.0001621982,0.0004782088,0.001501353,0.000005193073,0.0003183428,0.9860553],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2391176,"threshold_uncertainty_score":0.8375673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01567264671627958,"score_gpt":0.3030561489918951,"score_spread":0.2873835022756155,"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."}}