{"id":"W7084582142","doi":"10.57745/p1iwe1","title":"radiometrics_landscape_Kerguelen.dbf","year":2025,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001397656,0.00393213,0.002196768,0.004550114,0.001012297,0.003703994,0.004613135,0.003472038,0.1252531],"category_scores_gemma":[0.007483562,0.00116431,0.001954657,0.006691409,0.0007319413,0.001867113,0.00285127,0.002198731,0.2132702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002128073,"about_ca_system_score_gemma":0.002378593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05130132,"about_ca_topic_score_gemma":0.06884205,"domain_scores_codex":[0.9983662,0.0002876123,0.0001346509,0.0005091173,0.0004111418,0.0002912633],"domain_scores_gemma":[0.9973339,0.0006684256,0.0002249999,0.0008374406,0.0006503829,0.000284988],"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":[0.00003615766,0.00001267166,0.0003595573,0.0002970051,0.00001980562,0.00001005005,0.00001436696,0.0002196243,0.00005081993,0.0003209579,0.9972433,0.001415678],"study_design_scores_gemma":[0.0002710191,0.00001944678,0.002695496,0.0002068787,0.00002067719,0.0000508775,0.00007304294,0.0007202362,0.0003007998,0.001256739,0.9943461,0.00003873251],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007908049,0.00005868995,0.00008215827,0.00006448799,0.00002340415,0.000006238002,0.9981471,0.0009586557,0.0005802442],"genre_scores_gemma":[0.0003100826,0.00004355666,0.0002624306,0.0000379587,0.000008671191,0.00003738654,0.9985084,0.0001950453,0.0005963409],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8747469,"threshold_uncertainty_score":0.4190133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4048399660266886,"score_gpt":0.5376463880248787,"score_spread":0.1328064219981901,"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."}}