{"id":"W6924078893","doi":"10.15454/9z4ps3/yqcmp4","title":"Capex_core.cogxml","year":2019,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Ontology; Conceptual graph; Graph; Core (optical fiber); Set (abstract data type); Software","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","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.006941527,0.0013252,0.00158603,0.0004124159,0.0001373224,0.0002674105,0.01328494,0.003561584,0.003326208],"category_scores_gemma":[0.007331858,0.001340479,0.0002016227,0.001714168,0.0002978394,0.001072642,0.003891304,0.007275889,0.2965658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008897553,"about_ca_system_score_gemma":0.001160629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002460956,"about_ca_topic_score_gemma":0.0007648323,"domain_scores_codex":[0.9907502,0.002220937,0.001038303,0.003158703,0.001426066,0.001405806],"domain_scores_gemma":[0.9765825,0.00207941,0.000950967,0.01975825,0.0002788011,0.0003500363],"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":[0.00006734131,0.0001989059,0.00002219529,0.0006604227,0.000222027,0.00007266446,0.0000228159,0.000006995792,0.0001652326,0.000002958605,0.9957052,0.002853195],"study_design_scores_gemma":[0.0007450812,0.00005223729,0.00008587119,0.0005308268,0.000347754,0.00004773654,0.00001541729,0.0002373476,0.00005421024,0.00008612085,0.9962669,0.001530483],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001377874,0.005385797,0.00009638783,0.0001490769,0.00218273,0.001213385,0.9898742,0.0003116427,0.000773046],"genre_scores_gemma":[9.125308e-7,0.003603307,0.0041199,0.000924237,0.001349767,0.00009226621,0.983387,0.0004011781,0.006121418],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2932396,"threshold_uncertainty_score":0.9999499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5558491924125648,"score_gpt":0.4652292165314103,"score_spread":0.09061997588115456,"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."}}