{"id":"W7034584737","doi":"","title":",, Við skildum hana aldrei, aldrei, aldrei eftir eina\"","year":2007,"lang":"is","type":"dissertation","venue":"Skemman","topic":"Amphibian and Reptile Biology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scanning electron microscope; Order (exchange); Training (meteorology)","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.000890967,0.001418934,0.001250044,0.0004172535,0.0008853488,0.0001491582,0.001626898,0.002217545,0.01859428],"category_scores_gemma":[0.0001189491,0.001349625,0.0007859689,0.0008006775,0.001160502,0.0003402895,0.0004110981,0.001371782,0.02133066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008268349,"about_ca_system_score_gemma":0.0001862432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003043434,"about_ca_topic_score_gemma":0.004882721,"domain_scores_codex":[0.9925885,0.0003012172,0.00148142,0.002343559,0.001177557,0.002107711],"domain_scores_gemma":[0.996452,0.0001744206,0.0009263794,0.001530418,0.00006869673,0.0008480875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001860787,0.003726833,0.1533309,0.001482478,0.001916628,0.0027002,0.01905539,0.000505741,0.1395891,0.005591757,0.2044424,0.4657978],"study_design_scores_gemma":[0.00253919,0.001473999,0.6195806,0.0006825831,0.0008015157,0.000253268,0.004970001,0.0003734929,0.03370785,0.001203989,0.3298348,0.004578678],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8156605,0.002408097,0.000287148,0.0006012649,0.006224238,0.001908821,0.0002150649,0.0003297328,0.1723651],"genre_scores_gemma":[0.8335984,0.001340537,0.0008463211,0.001199759,0.001430757,0.00006642882,0.002394832,0.0002440713,0.1588789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4662497,"threshold_uncertainty_score":0.9998561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009657978349428,"score_gpt":0.2769613603489993,"score_spread":0.266864780565505,"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."}}