{"id":"W7068368859","doi":"","title":"The Road to Apollo","year":2009,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Apollo; Marketing buzz; Excursion; Moon landing; Quarter (Canadian coin); Meteorite","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":[0.0008327179,0.0007062501,0.0003056903,0.0006153472,0.003154748,0.006157218,0.0008080159,0.002652147,0.388693],"category_scores_gemma":[0.003433495,0.0002237195,0.0003655384,0.0006080565,0.001059744,0.005601448,0.003665054,0.004001426,0.2580826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001493501,"about_ca_system_score_gemma":0.003368262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01305442,"about_ca_topic_score_gemma":0.01622454,"domain_scores_codex":[0.9993568,0.00005784086,0.00001393212,0.0001171791,0.0002783785,0.0001758503],"domain_scores_gemma":[0.9980736,0.000116488,0.00005399381,0.0002288228,0.000471205,0.001055953],"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":[0.000006059073,0.000003415824,0.00002823825,0.000007125546,3.749629e-7,0.00001426763,0.0000130513,0.00001017007,0.00002523098,0.002889942,0.9884719,0.008530209],"study_design_scores_gemma":[0.000002886263,0.000003213074,0.0001057071,0.00001266686,3.554983e-7,0.00001971492,0.00003883386,0.00002009058,0.00002554229,0.001667919,0.9981007,0.000002444053],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009235764,0.001909517,0.001728177,0.1002358,0.01710402,0.00003728254,0.002650136,0.002317231,0.8730943],"genre_scores_gemma":[0.007813376,0.001275089,0.001096963,0.01408155,0.002284124,0.00004313948,0.002113308,0.0008686929,0.9704238],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.611307,"threshold_uncertainty_score":0.8719553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003281877365051845,"score_gpt":0.1956920560156009,"score_spread":0.1924101786505491,"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."}}