{"id":"W2907761436","doi":"10.15659/uzalcbs2018.6191","title":"MARMARA GÖLÜ (MANİSA) ALANSAL DEĞİŞİMİNİN UA VE CBS İLE ANALİZİ","year":2018,"lang":"tr","type":"article","venue":"VII. UZAKTAN ALGILAMA VE CBS SEMPOZYUMU UZAL-CBS2018","topic":"Turkish Urban and Social Issues","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stantec (Canada)","funders":"","keywords":"Physics; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.001442986,0.0007646161,0.0007298295,0.002002642,0.001429348,0.002461039,0.0004519493,0.0007642556,0.007994931],"category_scores_gemma":[0.001688384,0.0003051539,0.0007496382,0.001863894,0.0006754191,0.000709289,0.0009391959,0.0005997405,0.00203971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001574314,"about_ca_system_score_gemma":0.00193062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02779992,"about_ca_topic_score_gemma":0.06182968,"domain_scores_codex":[0.999063,0.000203351,0.00007543508,0.0001518488,0.0003087471,0.0001977594],"domain_scores_gemma":[0.9992896,0.0001137284,0.0001616829,0.00004258112,0.0003279361,0.00006447432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002455182,0.00051018,0.5430526,0.001689379,0.0004333006,0.00298049,0.0110292,0.001450824,0.03429911,0.003326176,0.009786333,0.3889872],"study_design_scores_gemma":[0.00003092134,0.001254958,0.8400831,0.0008648249,0.000537056,0.002242092,0.03844821,0.001872143,0.02853082,0.001626919,0.08437905,0.0001298756],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609052,0.00702122,0.004030744,0.0009826876,0.0002159874,0.0002347882,0.002146645,0.0002121954,0.02425061],"genre_scores_gemma":[0.9657089,0.002685893,0.01270911,0.000247679,0.00005280823,0.0001595943,0.001727613,0.00006392497,0.01664444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02779992,"threshold_uncertainty_score":0.05527622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02759011869779798,"score_gpt":0.3025545983464045,"score_spread":0.2749644796486065,"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."}}