{"id":"W7039100975","doi":"","title":"Leadership, Midwives, and Holiday Shopping","year":2018,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Government (linguistics); Mount; Public policy","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":[],"consensus_categories":[],"category_scores_codex":[0.001904168,0.0002138513,0.000225712,0.0006431432,0.005180612,0.008766557,0.000752929,0.001620309,0.1802753],"category_scores_gemma":[0.008524407,0.000370938,0.0002229055,0.001479178,0.002001731,0.003701266,0.00441088,0.002309775,0.02113754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003590728,"about_ca_system_score_gemma":0.005971946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04918708,"about_ca_topic_score_gemma":0.1446767,"domain_scores_codex":[0.9975123,0.000990071,0.00005033171,0.0001087383,0.000666482,0.0006720338],"domain_scores_gemma":[0.9923937,0.001006255,0.0003442454,0.0002896411,0.000608547,0.005357607],"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":[0.00005263171,0.00009146688,0.003793076,0.0001199588,0.000005559348,0.0001759979,0.003581577,0.0000459759,0.00006748913,0.01372019,0.8915077,0.08683825],"study_design_scores_gemma":[0.00001045067,0.00001879526,0.004788878,0.0001880344,0.00000190762,0.00007466786,0.006632948,0.0000300841,0.00003979677,0.002080086,0.9861227,0.00001158428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01946283,0.007749034,0.0006499547,0.1466092,0.004384131,0.00004195451,0.0006082434,0.0003732107,0.8201215],"genre_scores_gemma":[0.2224091,0.01026869,0.001163616,0.02958864,0.001769227,0.00005744161,0.0006585019,0.0005447549,0.7335399],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1802753,"threshold_uncertainty_score":0.603081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02091682047129885,"score_gpt":0.1885205804835651,"score_spread":0.1676037600122662,"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."}}