{"id":"W3000800934","doi":"","title":"Understanding choices and challenges about climate change with SF","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Université du Québec à Montréal","funders":"","keywords":"Climate change; Computer science; Environmental science; Geology; Oceanography","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":[0.002904149,0.0003513768,0.0004847149,0.0009730569,0.001374102,0.006337369,0.0007242509,0.001586346,0.01896442],"category_scores_gemma":[0.01470773,0.0002562184,0.0005431261,0.001751856,0.004674433,0.01526814,0.002266848,0.001869503,0.0007955131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002402754,"about_ca_system_score_gemma":0.001241757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009680876,"about_ca_topic_score_gemma":0.006168893,"domain_scores_codex":[0.9985453,0.0006828589,0.00006026648,0.0002667626,0.0002287666,0.0002160874],"domain_scores_gemma":[0.9945379,0.003440981,0.0004613492,0.0007320038,0.0004032197,0.0004246219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007621018,0.00003207973,0.003993257,0.00006465481,0.00001773416,0.0001213594,0.002121958,0.005970997,0.0001751687,0.9659539,0.001639298,0.0198333],"study_design_scores_gemma":[0.000002681445,0.000005296643,0.0009300847,0.00001872164,0.000003803904,0.00002938823,0.001073003,0.004771817,0.0000713106,0.9887081,0.004379673,0.000006175736],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3628989,0.003706941,0.1493752,0.04758784,0.0005571681,0.00004572552,0.001078826,0.0001827552,0.4345666],"genre_scores_gemma":[0.9862526,0.0005916781,0.006707849,0.0002878729,0.000103319,0.00001856251,0.0001258207,0.0000349266,0.005877344],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01896442,"threshold_uncertainty_score":0.06344229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08389393335212048,"score_gpt":0.2723370620221255,"score_spread":0.1884431286700051,"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."}}