{"id":"W4381435864","doi":"10.17118/11143/18896","title":"Jeunes et changements climatiques","year":2019,"lang":"fr","type":"article","venue":"˜Le œclimatoscope","topic":"Aging, Elder Care, and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Environmental science; Forestry; Physical geography; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001514376,0.0003113841,0.0003465994,0.001632472,0.006333296,0.003597981,0.0005445306,0.0009818653,0.006359417],"category_scores_gemma":[0.002981583,0.0001901464,0.0002661958,0.002499497,0.004486644,0.001637834,0.002061835,0.002870056,0.0005739059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007867463,"about_ca_system_score_gemma":0.01033524,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6346701,"about_ca_topic_score_gemma":0.7834544,"domain_scores_codex":[0.9987031,0.0003587657,0.00005214295,0.0001057643,0.0003448959,0.0004352921],"domain_scores_gemma":[0.9980549,0.0001918698,0.0002928789,0.00006027584,0.000650863,0.000749301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001646667,0.0002471739,0.132419,0.001301488,0.000117306,0.003034719,0.3920783,0.0003872678,0.001441993,0.1366659,0.1457635,0.1863787],"study_design_scores_gemma":[0.0000122541,0.00008463689,0.2527829,0.001316111,0.00002505524,0.0009530172,0.1537865,0.000116289,0.0001368088,0.005836349,0.5848989,0.00005105813],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4886141,0.1344304,0.0007480211,0.1912088,0.004086609,0.00008608677,0.001225884,0.0001072821,0.1794928],"genre_scores_gemma":[0.88169,0.05431245,0.0004713745,0.00614007,0.001097811,0.00004041855,0.0003547062,0.0000391343,0.05585409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6346701,"threshold_uncertainty_score":0.7349628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04639543832575035,"score_gpt":0.3970377042801934,"score_spread":0.3506422659544431,"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."}}