{"id":"W2907172041","doi":"10.15659/uzalcbs2018.6180","title":"3B YÜZ TANIMADA KİLİT NOKTA TEMELLİ ALGORİTMALARIN KULLANIM OLANAKLARININ ARAŞTIRILMASI VE DOĞRULUK ANALİZİ","year":2018,"lang":"tr","type":"article","venue":"VII. UZAKTAN ALGILAMA VE CBS SEMPOZYUMU UZAL-CBS2018","topic":"Linguistics and Cultural Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stantec (Canada)","funders":"","keywords":"Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","insufficient_payload"],"category_scores_codex":[0.001328702,0.003037024,0.003032143,0.0006406737,0.005286898,0.002971789,0.002511416,0.001182881,0.01417108],"category_scores_gemma":[0.0007121547,0.00267706,0.0014054,0.000960294,0.003639691,0.0007482062,0.001822258,0.00199428,0.01054769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007664281,"about_ca_system_score_gemma":0.0004360391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004149915,"about_ca_topic_score_gemma":0.007189538,"domain_scores_codex":[0.9866806,0.000490683,0.003199465,0.003454953,0.002356637,0.003817607],"domain_scores_gemma":[0.9910408,0.0005078865,0.001694411,0.002347901,0.003110687,0.001298275],"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":[0.001509047,0.00259262,0.01171453,0.001505776,0.006660534,0.001840302,0.05275475,0.00001041423,0.002865016,0.3226172,0.5898429,0.006086962],"study_design_scores_gemma":[0.003138858,0.003556886,0.005390099,0.0009655388,0.001399188,0.0001580969,0.008881735,0.001013345,0.001528011,0.004853308,0.9650722,0.00404274],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3080028,0.01803382,0.0002332823,0.006825802,0.0237862,0.00428034,0.00456259,0.001830082,0.632445],"genre_scores_gemma":[0.897353,0.00301547,0.001167419,0.002547326,0.0250296,0.0001704834,0.00064149,0.000590098,0.06948514],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5893502,"threshold_uncertainty_score":0.9990718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03570884067215464,"score_gpt":0.2579120810104797,"score_spread":0.2222032403383251,"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."}}