{"id":"W4393464787","doi":"10.5281/zenodo.10389032","title":"SEKOYA DALI","year":2014,"lang":"tr","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003164941,0.0005027893,0.0005036521,0.000601934,0.009275555,0.003232463,0.003066601,0.0005060603,0.08343899],"category_scores_gemma":[0.0027245,0.0005895772,0.0001839042,0.001500558,0.00105815,0.0006513581,0.001777809,0.0008300959,0.1088792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008853726,"about_ca_system_score_gemma":0.00002519306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006356915,"about_ca_topic_score_gemma":0.0001196172,"domain_scores_codex":[0.9937658,0.001711319,0.0007675631,0.001180196,0.00155573,0.001019362],"domain_scores_gemma":[0.9957927,0.0001314848,0.0006799299,0.001035145,0.001821369,0.0005394074],"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":[0.00004865076,0.0002080835,0.000001171183,0.0002055389,0.00007190819,0.000008609085,0.008890592,0.00001633933,0.0001366392,0.003724167,0.9721164,0.01457189],"study_design_scores_gemma":[0.0005245806,0.0003143921,0.0001236761,0.0001442574,0.0001032211,0.00003017108,0.005927055,0.0002649071,0.00001843755,0.0002123103,0.991737,0.000600005],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002723538,0.0003297698,0.001388439,0.005633384,0.001877887,0.002841169,0.8192708,0.002260887,0.1636742],"genre_scores_gemma":[0.005496223,0.002047472,0.0001252708,0.0004879514,0.002019441,1.611776e-7,0.9828954,0.002585362,0.00434274],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1636246,"threshold_uncertainty_score":0.9996555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1361547745777718,"score_gpt":0.3111940281852371,"score_spread":0.1750392536074653,"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."}}