{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008667128,0.0009127798,0.0007952978,0.001923693,0.002967748,0.008840931,0.001896044,0.003223575,0.7976693],"category_scores_gemma":[0.001769857,0.0005838252,0.0007257886,0.002017242,0.0009475509,0.001790415,0.002101605,0.00185889,0.7640928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007780761,"about_ca_system_score_gemma":0.008720823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2200076,"about_ca_topic_score_gemma":0.3468345,"domain_scores_codex":[0.9991671,0.00004025504,0.00002812786,0.0001418344,0.0004255469,0.0001971542],"domain_scores_gemma":[0.9984984,0.00006282501,0.0000271799,0.0002296799,0.0008306638,0.000351268],"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":[0.00003593724,0.00003295881,0.0001245469,0.0001438733,0.000004448526,0.00005381771,0.00003964025,0.00009470829,0.0006543121,0.006908874,0.9302655,0.06164151],"study_design_scores_gemma":[0.000003731778,0.000005551823,0.000187768,0.00004723552,0.000001883829,0.00002312596,0.00003159157,0.00004999029,0.0001554934,0.0004103633,0.9990783,0.000004862006],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002676067,0.0004716974,0.0008094985,0.001015351,0.0008296861,0.00008447331,0.004406654,0.001622296,0.9904928],"genre_scores_gemma":[0.0008182943,0.0003245547,0.0003572324,0.0002104067,0.00003563263,0.00001611695,0.002207627,0.0003334645,0.9956967],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2200076,"threshold_uncertainty_score":0.437454,"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."}}