{"id":"W7067839647","doi":"","title":"Nebular Occlusion","year":2016,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cloud computing; Photography; Key (lock)","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":[],"category_scores_codex":[0.001281368,0.001426572,0.001077604,0.001768528,0.002648733,0.00696129,0.002524002,0.002188439,0.2330917],"category_scores_gemma":[0.008490031,0.0009033883,0.001231224,0.001944405,0.001149298,0.005258682,0.006932612,0.00239114,0.1332136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00136546,"about_ca_system_score_gemma":0.001739179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01013542,"about_ca_topic_score_gemma":0.01676513,"domain_scores_codex":[0.9976805,0.0002321006,0.00007631177,0.0004796498,0.001260584,0.0002707503],"domain_scores_gemma":[0.9985146,0.0002638381,0.00006891447,0.0005159662,0.0005101805,0.0001264801],"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":[0.0001719168,0.00003523609,0.0006621243,0.0002814067,0.00002642678,0.0001567342,0.0003478866,0.0009023591,0.001973641,0.03673504,0.7360183,0.222689],"study_design_scores_gemma":[0.00002641372,0.00001048346,0.0004196985,0.0001218541,0.0000121248,0.0002360033,0.000146448,0.003266183,0.001743839,0.01018408,0.9838112,0.00002154166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005033554,0.006629873,0.2078705,0.005462277,0.006619,0.0003660205,0.01536083,0.0519588,0.7006991],"genre_scores_gemma":[0.1135744,0.007323875,0.2166028,0.006740175,0.002545281,0.0006811787,0.05309829,0.04108582,0.5583482],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7669083,"threshold_uncertainty_score":0.7797692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01957653079749625,"score_gpt":0.2573310261175537,"score_spread":0.2377544953200574,"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."}}