{"id":"W7034242475","doi":"","title":"Supporting renewable energy manufacturing in Quebec to create jobs and build a cleaner future","year":2021,"lang":"en","type":"other","venue":"","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Renewable energy; Work (physics); Production (economics); Energy (signal processing); Product (mathematics); Sustainability","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":[0.001002815,0.0004023009,0.0001677882,0.0007600891,0.005006741,0.003349292,0.001045846,0.002359006,0.09095642],"category_scores_gemma":[0.002042467,0.0002381513,0.000469721,0.0009360241,0.0007288588,0.0008092078,0.001335359,0.001398367,0.008319428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03749748,"about_ca_system_score_gemma":0.120615,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.991168,"about_ca_topic_score_gemma":0.9963546,"domain_scores_codex":[0.9990159,0.00009606927,0.00001713949,0.00004276975,0.000390003,0.0004379996],"domain_scores_gemma":[0.9976279,0.0001676168,0.00006673616,0.00006658905,0.001258079,0.0008131098],"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":[0.00009269913,0.0001610304,0.01039442,0.0002340865,0.00001859846,0.0003680494,0.0005185579,0.001099645,0.00185991,0.02173994,0.8337273,0.1297858],"study_design_scores_gemma":[0.00003131258,0.00002527701,0.01821706,0.0001494073,0.000009229704,0.00005072011,0.001063036,0.00182097,0.0006661838,0.0009919136,0.9769514,0.00002354699],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03703027,0.00446362,0.003699716,0.07489906,0.002111557,0.0004420255,0.01213156,0.001165727,0.8640565],"genre_scores_gemma":[0.0673072,0.001438316,0.002903227,0.006934587,0.0001048613,0.0001079376,0.002021095,0.0001765699,0.9190062],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09095642,"threshold_uncertainty_score":0.3042796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02024614431010202,"score_gpt":0.3874068365368009,"score_spread":0.3671606922266988,"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."}}