{"id":"W7034674160","doi":"","title":"T?rk Bo?azlar? ??in Gemi Risk Modeli ?nerisi","year":2015,"lang":"tr","type":"article","venue":"DSpace Repository","topic":"Mollusks and Parasites Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Turkish; Coast guard; Risk assessment; Port (circuit theory); Risk management","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":[],"consensus_categories":[],"category_scores_codex":[0.0005687981,0.0003832021,0.0005134759,0.00003377559,0.000440067,0.0001915872,0.0003954432,0.0003077794,0.0000434731],"category_scores_gemma":[0.0001075367,0.0001770934,0.000219041,0.0004522096,0.0001729357,0.0001874815,0.0002675958,0.0004343906,0.0002245688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001549193,"about_ca_system_score_gemma":0.00004452685,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01635662,"about_ca_topic_score_gemma":0.00429837,"domain_scores_codex":[0.997382,0.0002845147,0.0004581817,0.0006982328,0.0004989844,0.0006780609],"domain_scores_gemma":[0.9988257,0.0001478921,0.0002839301,0.0001878877,0.0001730163,0.000381524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001936829,0.0003656227,0.9179409,0.00003278286,0.0001105033,0.000209141,0.002167468,0.0008095336,0.006484373,0.0006369142,0.06356737,0.007481734],"study_design_scores_gemma":[0.001056993,0.001103322,0.6960855,0.0002137644,0.0001679563,0.00009419023,0.003731136,0.005689165,0.0009580109,0.0007704722,0.2888008,0.001328713],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9229301,0.01375258,0.000006875519,0.001596004,0.001278126,0.0003222782,0.00003670593,0.00007978878,0.05999751],"genre_scores_gemma":[0.9779325,0.001318451,0.000165661,0.000114738,0.001233913,0.0000300846,0.00001050437,0.00000484747,0.01918934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2252335,"threshold_uncertainty_score":0.9901935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03845913256840364,"score_gpt":0.2417809497163241,"score_spread":0.2033218171479205,"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."}}