{"id":"W7001901072","doi":"","title":"Lífsglaðar í líkamsrækt","year":2007,"lang":"is","type":"dissertation","venue":"Skemman","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nunavut Arctic College","funders":"","keywords":"Object (grammar); Work (physics); Verisimilitude","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","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006008903,0.0007383457,0.0005124853,0.0002373803,0.0002912851,0.0001159297,0.000738952,0.001530843,0.0005085007],"category_scores_gemma":[0.0003321104,0.000785073,0.0004008444,0.000240422,0.000126219,0.000007217006,0.0001700035,0.0009055329,0.0009966862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000638779,"about_ca_system_score_gemma":0.000287888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001131931,"about_ca_topic_score_gemma":0.0003434494,"domain_scores_codex":[0.9969562,0.0001009607,0.000907566,0.0007006381,0.0005238908,0.0008107953],"domain_scores_gemma":[0.9976665,0.00003528267,0.0006672957,0.001080423,0.0002816674,0.0002688723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003384953,0.001853848,0.04339334,0.01180018,0.004723155,0.00035748,0.0154172,0.001554908,0.3236668,0.008165318,0.1847076,0.4009753],"study_design_scores_gemma":[0.00124267,0.0009592721,0.01047199,0.0003311507,0.000292108,0.00006503177,0.00143257,0.001107766,0.07343888,0.0001008386,0.9087292,0.00182853],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6736798,0.002806931,0.002319806,0.0001659189,0.003702053,0.0009251619,0.0001188166,0.0001057295,0.3161758],"genre_scores_gemma":[0.8208948,0.001342051,0.007664304,0.001300302,0.002911928,0.00004735006,0.02659815,0.0003297614,0.1389114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7240216,"threshold_uncertainty_score":0.9997811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006556003258329461,"score_gpt":0.3156270109981664,"score_spread":0.309071007739837,"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."}}