{"id":"W3094850549","doi":"","title":"Future earth Secretariat Transformation to Sustainability","year":2015,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Environmental, Ecological, and Cultural Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Sustainability; Transformation (genetics); Computer science; Earth (classical element); Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005577632,0.0004988398,0.0003843243,0.000971977,0.002718306,0.008647071,0.001196522,0.006313641,0.0898622],"category_scores_gemma":[0.008975253,0.0001593987,0.0005415556,0.001068175,0.001711536,0.00590656,0.005122251,0.005081777,0.01440794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005133013,"about_ca_system_score_gemma":0.01677768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01317247,"about_ca_topic_score_gemma":0.01454709,"domain_scores_codex":[0.9973067,0.0006231816,0.00009678014,0.0002020903,0.0007904968,0.0009807679],"domain_scores_gemma":[0.9944127,0.000818148,0.0003426781,0.0003896176,0.001615673,0.00242123],"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":[0.000054167,0.00009152952,0.0009284584,0.0001144107,0.00001059263,0.0001727672,0.0005716385,0.0002266475,0.0003834529,0.1562976,0.7979314,0.04321736],"study_design_scores_gemma":[0.000009756724,0.00001195389,0.001182642,0.00005731398,0.000003007511,0.0000313732,0.0006987852,0.00008627824,0.0001104192,0.01201701,0.9857854,0.000006118309],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.008634764,0.005135094,0.001032643,0.586383,0.02868108,0.00007479117,0.001274589,0.0003997848,0.3683842],"genre_scores_gemma":[0.1379489,0.007159895,0.001981203,0.102196,0.009348186,0.0001825888,0.001872331,0.0003303557,0.7389805],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0898622,"threshold_uncertainty_score":0.300619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01774774659129452,"score_gpt":0.2485121173858615,"score_spread":0.230764370794567,"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."}}