{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006360214,0.002565718,0.001378053,0.002851153,0.000962671,0.002887029,0.001895366,0.001664195,0.124171],"category_scores_gemma":[0.003525835,0.0008701883,0.001574073,0.005092966,0.0003926185,0.00221826,0.002764296,0.001789365,0.178525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001575895,"about_ca_system_score_gemma":0.002459224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04509787,"about_ca_topic_score_gemma":0.1198302,"domain_scores_codex":[0.9992538,0.00008207463,0.00006175993,0.0002812294,0.0001646592,0.0001565546],"domain_scores_gemma":[0.9989749,0.0001579234,0.00007425456,0.0003636129,0.0002697718,0.0001595727],"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":[0.00003862333,0.00001103271,0.0005283745,0.0002342227,0.00001567108,0.00001211459,0.00001943139,0.0001437505,0.00006321224,0.0002821159,0.9960335,0.002617865],"study_design_scores_gemma":[0.0001145485,0.000007663753,0.002096925,0.0001193175,0.00001767231,0.00003804491,0.00007825247,0.0003972916,0.0002118204,0.0008273938,0.9960731,0.00001791459],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002784051,0.0001033656,0.0001261238,0.00008209619,0.00005142894,0.00001301831,0.9955292,0.001687736,0.002128597],"genre_scores_gemma":[0.0005248021,0.00008353993,0.0004087221,0.00003784964,0.00000779279,0.00004507987,0.997076,0.0003225101,0.001493617],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.124171,"threshold_uncertainty_score":0.4153932,"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."}}