{"id":"W6969312556","doi":"10.5281/zenodo.998853","title":"eegkno/mltoolbox 0.1.0rc1","year":2017,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Set (abstract data type); Identification (biology); Work (physics); Process (computing)","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002467069,0.0002742485,0.0002596378,0.0002788559,0.00108938,0.0008587464,0.001333448,0.0002527079,0.07596302],"category_scores_gemma":[0.0002568908,0.0002919735,0.00008167151,0.0001523317,0.0001890432,0.00015516,0.0005898129,0.000463299,0.007042608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001997221,"about_ca_system_score_gemma":0.000004180135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002841136,"about_ca_topic_score_gemma":0.000001409165,"domain_scores_codex":[0.9986064,0.0001035054,0.0001789912,0.0003826267,0.0002875277,0.0004409478],"domain_scores_gemma":[0.998527,0.000009255145,0.00009000871,0.001032657,0.0001720747,0.0001689883],"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":[0.000004783449,0.00001576993,6.313091e-7,0.0002231723,0.00007437442,0.00001283971,0.0001306183,0.00003283286,0.00008846639,0.0007952583,0.9310622,0.067559],"study_design_scores_gemma":[0.0002169737,0.00004653751,0.00005121625,0.00005929562,0.00001869759,0.0000368144,0.00005975027,0.0001653295,0.00003454735,0.0004714588,0.9985393,0.0003000898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0000382339,0.0004006233,0.004194565,0.00007554705,0.0003427965,0.0003646559,0.0002461426,0.003287002,0.9910504],"genre_scores_gemma":[0.04945474,0.001114132,0.0007057277,0.0001307092,0.001871208,1.287188e-7,0.004892621,0.03514099,0.9066898],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08436069,"threshold_uncertainty_score":0.9999533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01448423171685124,"score_gpt":0.2177783484466627,"score_spread":0.2032941167298115,"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."}}