{"id":"W7056026202","doi":"","title":"Eco-Innovation on the Horizon: Cloud Toronto and FYBN's Green Investment Launches Billion-Dollar Fund to Reshape US Gas Stations and CStores for Retail Transformations","year":2024,"lang":"en","type":"other","venue":"","topic":"Particle accelerators and beam dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Investment (military); Green economy; Renewable energy","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":[0.0009209167,0.0006879269,0.0002442526,0.0006693948,0.003549396,0.007007673,0.0006443522,0.003692216,0.2244745],"category_scores_gemma":[0.002241995,0.0002586724,0.0004602249,0.0008252253,0.0009957454,0.002282929,0.002211588,0.003428444,0.06566607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01123992,"about_ca_system_score_gemma":0.02628695,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4060833,"about_ca_topic_score_gemma":0.6724107,"domain_scores_codex":[0.9991329,0.00003089147,0.000007342526,0.00004910431,0.0005033258,0.0002763312],"domain_scores_gemma":[0.9980156,0.00006555834,0.00003073132,0.00007690341,0.0007266176,0.001084619],"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":[0.00001650767,0.00001226243,0.0001604689,0.00001124431,0.000001119362,0.00002153528,0.00001755216,0.00006057278,0.0001092768,0.01204778,0.9783595,0.009182268],"study_design_scores_gemma":[0.00001031352,0.00000917442,0.0006135746,0.00002534042,0.000001162932,0.000008367629,0.00008169979,0.0001783385,0.0001386481,0.001524583,0.997403,0.000005871236],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001672153,0.0007246491,0.0006495062,0.03004532,0.004227086,0.00007672487,0.004719696,0.0007407042,0.9571442],"genre_scores_gemma":[0.008557457,0.0006410448,0.0004742083,0.004976919,0.0002706703,0.00002947591,0.001807267,0.000323444,0.9829195],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5939168,"threshold_uncertainty_score":0.8074392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03197194910979656,"score_gpt":0.2520935085200925,"score_spread":0.2201215594102959,"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."}}