{"id":"W4253633833","doi":"10.36510/learnland.v3i1.852","title":"Review Board","year":2009,"lang":"en","type":"article","venue":"LEARNing Landscapes","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Editorial board; Computer science; Library science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003729277,0.0001347203,0.0002351644,0.00006030918,0.000106713,0.00003565757,0.0001566296,0.00004127829,0.0007331471],"category_scores_gemma":[0.0003487619,0.0001118632,0.00008570968,0.0002876871,0.000008995163,0.0001040259,0.00001708824,0.0003040438,0.01092591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001839331,"about_ca_system_score_gemma":0.00001398137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000052597,"about_ca_topic_score_gemma":0.000004231416,"domain_scores_codex":[0.9989977,0.0001314648,0.0001721797,0.0002215089,0.0001908948,0.0002862765],"domain_scores_gemma":[0.9995363,0.00004563779,0.00009456847,0.0001996413,0.00004332116,0.00008050681],"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":[0.00007232087,0.0001640743,0.04418269,0.0006746621,0.00006632518,0.00007335014,0.0005406233,0.001148892,0.008501139,0.001448025,0.7635813,0.1795467],"study_design_scores_gemma":[0.00025334,0.0001231181,0.0161772,0.001172791,0.00003973059,0.00001888696,0.00001435619,0.0002672399,0.0001018747,0.0001195327,0.9815108,0.0002011944],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2443818,0.3598536,0.0001849125,0.01146039,0.0002976904,0.0008414615,0.000007781053,0.00478544,0.3781869],"genre_scores_gemma":[0.9857612,0.006188846,0.0005673203,0.003746021,0.0002211837,0.000007872778,0.00003598911,0.00005121529,0.003420362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7413794,"threshold_uncertainty_score":0.9898442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01293299463278974,"score_gpt":0.2708394456335636,"score_spread":0.2579064510007739,"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."}}