{"id":"W6996997493","doi":"","title":"TROES named to Foresight 50 as one of Canada’s most investable cleantech ventures","year":2023,"lang":"en","type":"other","venue":"","topic":"Education, Technology, and Ethics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Futures studies; Context (archaeology); Perspective (graphical); Investment (military); Work (physics); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001257505,0.0006542871,0.0003952437,0.001640518,0.01282983,0.007359166,0.001151014,0.006036485,0.09897331],"category_scores_gemma":[0.003180147,0.0004926848,0.0006847996,0.00115151,0.001361337,0.001326197,0.001860115,0.005873831,0.01615749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02526124,"about_ca_system_score_gemma":0.1164733,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9499821,"about_ca_topic_score_gemma":0.9869547,"domain_scores_codex":[0.9973032,0.00006988187,0.00002434486,0.000155182,0.001201498,0.001245773],"domain_scores_gemma":[0.9965609,0.0001997232,0.00005929967,0.0001102522,0.001732985,0.001336843],"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":[0.00003188974,0.0000528071,0.001154379,0.00003115696,0.000006369129,0.0002070461,0.0002715426,0.00007405684,0.0003337383,0.03527736,0.9481035,0.01445602],"study_design_scores_gemma":[0.00001104437,0.000008716335,0.002851149,0.00003720419,0.000005398476,0.00003732833,0.0005883476,0.0001394071,0.0003044205,0.0008876945,0.995109,0.00002009975],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007420367,0.0008973628,0.0005604521,0.02352281,0.00202011,0.0003013311,0.004591147,0.0004740326,0.9602125],"genre_scores_gemma":[0.006960974,0.0001830394,0.0001697284,0.002438697,0.00004713488,0.00002334991,0.0003977218,0.00006709465,0.9897121],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09897331,"threshold_uncertainty_score":0.3310987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01551741027379834,"score_gpt":0.2507442018716139,"score_spread":0.2352267915978156,"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."}}