{"id":"W4392409487","doi":"10.62212/revuepossibles.v47i2.725","title":"Trouver des portes de sortie : à partir des futurités noires","year":2023,"lang":"fr","type":"article","venue":"Revue Possibles","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science","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":[0.001841947,0.0004390372,0.0003070233,0.000764004,0.02229356,0.01081321,0.0008943937,0.002010512,0.03342444],"category_scores_gemma":[0.00361619,0.0003227465,0.0003338782,0.001064819,0.01034366,0.007314042,0.004436743,0.004404174,0.003749066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01590707,"about_ca_system_score_gemma":0.02284921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3690242,"about_ca_topic_score_gemma":0.6189775,"domain_scores_codex":[0.9985141,0.000416423,0.00003446923,0.0002144779,0.0003385334,0.0004819079],"domain_scores_gemma":[0.9981054,0.0002599499,0.0001115711,0.0002054242,0.000666261,0.0006512778],"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":[0.00006462719,0.00002798927,0.003797475,0.00008925513,0.00001613526,0.0009525333,0.1484781,0.0001056134,0.0008114319,0.7315069,0.07507976,0.03907014],"study_design_scores_gemma":[0.000006351245,0.00001645067,0.00244479,0.0001563687,0.00001007135,0.0002388429,0.04951584,0.00009382294,0.0003471136,0.01875864,0.9283855,0.00002625403],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09568463,0.003049347,0.007121648,0.04928908,0.001583873,0.00009311315,0.0002457084,0.0001739029,0.8427587],"genre_scores_gemma":[0.4471951,0.001105068,0.001855487,0.003293351,0.0001396749,0.00004158741,0.000108305,0.0001948391,0.5460665],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3690242,"threshold_uncertainty_score":0.7337524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08832942751028615,"score_gpt":0.3453386409826837,"score_spread":0.2570092134723975,"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."}}