{"id":"W7002173374","doi":"","title":"Montreal's BrainBox AI among Canadian companies working with MaRS Discovery District in order to scale Cleantech across Canada - Energy (ENERGY01) News","year":2019,"lang":"en","type":"other","venue":"","topic":"AI in cancer detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mars Exploration Program; Order (exchange); Scale (ratio); Energy (signal processing); Sustainability; Renewable energy; Sustainable 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":[0.001698081,0.001133082,0.0003986014,0.001448155,0.008127295,0.009609993,0.001350058,0.009030472,0.1360153],"category_scores_gemma":[0.004064971,0.0005410508,0.001007953,0.001362421,0.001918289,0.00200431,0.001810917,0.007393122,0.0372756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01698241,"about_ca_system_score_gemma":0.03839851,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8444689,"about_ca_topic_score_gemma":0.9615145,"domain_scores_codex":[0.9973353,0.00009835616,0.00002919918,0.0001330006,0.001605737,0.0007983076],"domain_scores_gemma":[0.9945961,0.0003658595,0.00008594812,0.0001386735,0.002561291,0.002252245],"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":[0.000008280908,0.000006573981,0.0001005175,0.000007452132,0.000001125966,0.0000196966,0.00001326964,0.0000110043,0.00003459456,0.0005732907,0.9954636,0.003760559],"study_design_scores_gemma":[0.000008084669,0.000008775659,0.001178629,0.0000237643,0.000003299017,0.00001655426,0.0001342203,0.00004901564,0.0001001884,0.0002680829,0.9982004,0.000008868982],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001992339,0.005357349,0.001065339,0.2649697,0.04604369,0.0001706147,0.006718583,0.001894451,0.6717879],"genre_scores_gemma":[0.006669182,0.001582271,0.0003506809,0.03772487,0.002570989,0.00002291772,0.001550684,0.0002708426,0.9492576],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1555311,"threshold_uncertainty_score":0.4550166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005700544468664043,"score_gpt":0.1966474418820663,"score_spread":0.1909468974134022,"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."}}