{"id":"W6930342641","doi":"10.5281/zenodo.14137563","title":"PM_133107_B_Machelen","year":2021,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pulpit; Karel; Period (music); Quarter (Canadian coin)","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001123306,0.0002845488,0.0003315922,0.000301075,0.001262805,0.001663529,0.002204056,0.0001950349,0.5743881],"category_scores_gemma":[0.0009079555,0.00029379,0.00007163209,0.0004453581,0.0003122585,0.00009606687,0.002207829,0.0003441163,0.04555085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001170344,"about_ca_system_score_gemma":0.000008864108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001072759,"about_ca_topic_score_gemma":0.000001210204,"domain_scores_codex":[0.9968479,0.0007646529,0.0003006262,0.000867969,0.00066218,0.0005566242],"domain_scores_gemma":[0.998279,0.00002288569,0.0002858108,0.0009470558,0.000256731,0.0002084978],"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":[0.000009592452,0.00006164131,4.251353e-7,0.0001825742,0.00001320968,0.00003219357,0.0001474539,0.0000338517,0.08167984,0.002488654,0.9082904,0.007060105],"study_design_scores_gemma":[0.0001955641,0.00007424413,0.00002821765,0.0001510649,0.00001313637,0.0001188292,0.00004551633,0.0001102835,0.002000462,0.00009715529,0.9968444,0.0003211165],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003572099,0.0003916391,0.003174412,0.0003167119,0.0006890106,0.0003679201,0.0003767293,0.002402607,0.9919237],"genre_scores_gemma":[0.008810141,0.0003518784,0.01245164,0.0005916426,0.002219392,2.094028e-7,0.007196805,0.02911824,0.9392601],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5288373,"threshold_uncertainty_score":0.9999514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02869533623498422,"score_gpt":0.2634206453680444,"score_spread":0.2347253091330602,"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."}}