{"id":"W4381432388","doi":"10.17118/11143/18879","title":"Le Climatoscope. Numéro 01 (septembre 2019)","year":2019,"lang":"fr","type":"paratext","venue":"˜Le œclimatoscope","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.003491258,0.006913492,0.008985801,0.002423868,0.002688128,0.002913951,0.007907072,0.006337709,0.06743434],"category_scores_gemma":[0.0005055841,0.00815623,0.00316864,0.0044968,0.002900515,0.003857473,0.004705268,0.00735769,0.9505278],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002223726,"about_ca_system_score_gemma":0.01680957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005369003,"about_ca_topic_score_gemma":0.001620285,"domain_scores_codex":[0.9688573,0.003502234,0.006438317,0.007607731,0.004227589,0.009366856],"domain_scores_gemma":[0.9783404,0.001493874,0.005506461,0.009978571,0.001665042,0.003015641],"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":[0.001264472,0.003587361,0.002131708,0.006935331,0.001820641,0.000417155,0.0008695837,0.001496693,0.01403398,0.01675966,0.9500002,0.0006832712],"study_design_scores_gemma":[0.010452,0.0009702906,0.00053554,0.007809349,0.0009366573,0.00077067,0.002028577,0.001514743,0.009384627,0.0002920876,0.9574116,0.007893853],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01429279,0.07543305,0.0004567049,0.002575518,0.05149763,0.008393142,0.02074512,0.001544817,0.8250613],"genre_scores_gemma":[0.04358246,0.0151854,0.005261676,0.002922128,0.006976048,0.001272201,0.02093112,0.007503256,0.8963657],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8830934,"threshold_uncertainty_score":0.999813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01645933166139302,"score_gpt":0.2736651023655809,"score_spread":0.2572057707041879,"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."}}