{"id":"W2531544165","doi":"10.3917/rfspe.625.0151","title":"10.3917/rfspe.625.0151","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Presidential system; Political science; Political economy; Econometrics; Economics; Law; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001520522,0.001035203,0.0007053891,0.00354556,0.001977875,0.004715107,0.0009238388,0.001593557,0.9391866],"category_scores_gemma":[0.003600287,0.0004077707,0.0005483705,0.003561783,0.0008875284,0.002012751,0.002992687,0.0009718803,0.9635329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001807138,"about_ca_system_score_gemma":0.001420162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01135808,"about_ca_topic_score_gemma":0.01245661,"domain_scores_codex":[0.9988598,0.0001934773,0.0001043952,0.0002766762,0.0004037372,0.000161928],"domain_scores_gemma":[0.9977822,0.0002950303,0.0001138736,0.0004241776,0.001084686,0.0003001045],"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":[0.00005845154,0.00006518297,0.001591578,0.0001409149,0.000008304593,0.0001219821,0.0001797542,0.00006402979,0.0003219744,0.003406158,0.6690137,0.3250279],"study_design_scores_gemma":[0.000007902957,0.000008065425,0.001083975,0.00008741125,0.000002503943,0.00006007974,0.00009349238,0.00002810483,0.00007008462,0.0003543223,0.9981976,0.000006515281],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009128525,0.0006124436,0.0005784501,0.001691561,0.001640123,0.00007561172,0.00574488,0.001389645,0.9873543],"genre_scores_gemma":[0.002277054,0.000288535,0.0002281579,0.000468827,0.00021173,0.00003966121,0.001939327,0.0002990374,0.9942477],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06081343,"threshold_uncertainty_score":0.08674288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01600337960599665,"score_gpt":0.2085683515800036,"score_spread":0.192564971974007,"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."}}