{"id":"W6982053742","doi":"","title":"GESIA: Pioneering Global Innovation in Sustainable and Transparent Carbon Management – US and Canada Report","year":2024,"lang":"en","type":"other","venue":"","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sustainability; Sustainable development; Work (physics); Government (linguistics); Climate change; Innovation management","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":[0.006157814,0.001376082,0.000455031,0.002552858,0.003234272,0.006799934,0.001949382,0.006438551,0.03065098],"category_scores_gemma":[0.009239793,0.0004959655,0.0009572953,0.002756232,0.002534786,0.002148265,0.005133985,0.005218051,0.006424696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03831566,"about_ca_system_score_gemma":0.268553,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9369294,"about_ca_topic_score_gemma":0.9467598,"domain_scores_codex":[0.9934936,0.000281781,0.00009112513,0.0002279468,0.003905543,0.002000004],"domain_scores_gemma":[0.9862255,0.0008728248,0.0002131053,0.0003016848,0.006799658,0.005587251],"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":[0.00005427937,0.00006619859,0.001077469,0.00008490345,0.00001596302,0.0001079688,0.00007009738,0.0003742256,0.0002617286,0.01892896,0.962086,0.01687211],"study_design_scores_gemma":[0.00004360843,0.00002496048,0.005485467,0.0001262192,0.00002058883,0.00003804603,0.0002655321,0.0005695109,0.0007823232,0.001882057,0.9907355,0.00002608377],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01123514,0.01218191,0.00597624,0.2734185,0.01724521,0.0009753283,0.05791912,0.003255419,0.6177931],"genre_scores_gemma":[0.07378203,0.01572456,0.01415363,0.06155736,0.001574653,0.0003802232,0.03493372,0.001240616,0.7966532],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0630706,"threshold_uncertainty_score":0.2780008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009034911928815404,"score_gpt":0.245728834243273,"score_spread":0.2366939223144576,"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."}}