{"id":"W7059084951","doi":"","title":"Semitonal Pastel","year":2016,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adoration; Feature (linguistics); Exhibition; Line drawings","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":[0.000518195,0.0006505437,0.000303838,0.001203807,0.002357181,0.004020062,0.0007837401,0.001192701,0.5817972],"category_scores_gemma":[0.002512329,0.0002836509,0.0004229869,0.0008055108,0.0008438222,0.002417266,0.002806237,0.001894666,0.2792438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007685533,"about_ca_system_score_gemma":0.000864759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003181641,"about_ca_topic_score_gemma":0.01154166,"domain_scores_codex":[0.999305,0.00005831028,0.00002177135,0.00009205263,0.0004405002,0.0000823005],"domain_scores_gemma":[0.9991197,0.000122549,0.0000230059,0.0001694083,0.0003799588,0.0001853941],"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":[0.00006147382,0.00001843516,0.00009429603,0.0000910962,0.000002195327,0.0001282023,0.0002338979,0.00002768837,0.0009414042,0.01131895,0.8960192,0.09106305],"study_design_scores_gemma":[0.00000287443,0.00000604723,0.00009689872,0.00002150896,5.670051e-7,0.00006348086,0.00009845845,0.00002582388,0.000207677,0.0006055654,0.9988686,0.000002385792],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000805387,0.0007813877,0.001604259,0.002643472,0.004583682,0.00004963538,0.0006767352,0.001434842,0.9874206],"genre_scores_gemma":[0.002809693,0.0002708287,0.0005826073,0.0005969853,0.000241675,0.00001452238,0.0002878486,0.0004099463,0.994786],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4182028,"threshold_uncertainty_score":0.5965155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003504355072322129,"score_gpt":0.1687197386266584,"score_spread":0.1652153835543362,"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."}}