{"id":"W4245253311","doi":"10.21991/c9gt1z","title":"Acknowledgments","year":2017,"lang":"en","type":"article","venue":"Constitutional Forum / Forum constitutionnel","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.002844519,0.0008051724,0.0007022357,0.003146895,0.002131071,0.003633476,0.001893008,0.001244217,0.5619915],"category_scores_gemma":[0.0183795,0.0002709388,0.0006288508,0.00174609,0.0004917617,0.00183345,0.003274781,0.002082675,0.311327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003355605,"about_ca_system_score_gemma":0.005214985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01379978,"about_ca_topic_score_gemma":0.02076853,"domain_scores_codex":[0.9971018,0.0006646631,0.0001606781,0.0003271391,0.001456694,0.0002889141],"domain_scores_gemma":[0.9804041,0.002007371,0.0004648962,0.001121389,0.01308559,0.002916662],"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":[0.00006930654,0.00003331764,0.0008926535,0.0001082456,0.000005298358,0.00005833998,0.0001532816,0.0000643905,0.000208622,0.008454388,0.9676095,0.02234275],"study_design_scores_gemma":[0.00002242067,0.00001088773,0.001415016,0.0001227152,0.00000939513,0.00006207982,0.0004980095,0.0001254046,0.0003565585,0.002446519,0.9949216,0.000009255869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005525377,0.001743269,0.005390818,0.08259252,0.04866099,0.0009710754,0.09018656,0.004126893,0.7608024],"genre_scores_gemma":[0.02429418,0.0006891118,0.004523505,0.01267958,0.00279525,0.0004101192,0.02102404,0.001382471,0.9322017],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4380085,"threshold_uncertainty_score":0.6247659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05387471099084247,"score_gpt":0.2457133978223868,"score_spread":0.1918386868315443,"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."}}