{"id":"W7068288701","doi":"","title":"CBCR 3 2010 02 26","year":2010,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Feature (linguistics); Staring; Gloom; Ridiculous","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007981536,0.0004568446,0.0005773395,0.0001134973,0.0001221369,0.0002031619,0.001073388,0.0006638176,0.8870291],"category_scores_gemma":[0.0004410826,0.0004200029,0.0001409352,0.00001084763,0.0004159059,4.174995e-7,0.000261942,0.0005217512,0.1339697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003280376,"about_ca_system_score_gemma":0.00006057745,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01238924,"about_ca_topic_score_gemma":0.002457642,"domain_scores_codex":[0.9973679,0.0001482267,0.0008004384,0.0003934847,0.0007768216,0.0005130888],"domain_scores_gemma":[0.9976626,0.0001252525,0.00106018,0.0008097682,0.0001573493,0.0001848707],"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":[0.00003039623,0.0000296475,0.000002939903,0.0003288947,0.000007896339,0.00001120997,0.00007144439,0.0002223447,0.0005429514,0.00004153162,0.998255,0.0004557462],"study_design_scores_gemma":[0.0002789915,0.00009272264,0.00001604704,0.0001708678,0.00002791225,0.00007714824,0.00001644085,0.00003756267,0.0006022683,0.00001643829,0.9982128,0.0004508542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003886373,0.00009818242,0.000002084598,0.0001916331,0.002940076,0.0004128634,0.0001632115,0.0006637041,0.9951396],"genre_scores_gemma":[0.0003178686,0.00005391745,0.01012816,0.0002888116,0.0004308935,0.00001995705,0.00005081246,0.0002183045,0.9884913],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7530593,"threshold_uncertainty_score":0.9998252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005135860067733223,"score_gpt":0.1942485663040099,"score_spread":0.1891127062362767,"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."}}