{"id":"W2735565566","doi":"","title":"The Great MARC Mystery & Auction | Lunenburg Region, Nova Scotia","year":2017,"lang":"en","type":"article","venue":"","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nova scotia; Nova (rocket); Geography; Archaeology; Engineering; Aeronautics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002331913,0.0000729616,0.00008845875,0.00001948099,0.0008542576,0.0002662801,0.0003352535,0.00004527433,0.001939419],"category_scores_gemma":[0.00006436082,0.00003574914,0.00007126603,0.00003998747,0.0001157507,0.0001399868,0.00001493008,0.00007790834,0.001053792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001139756,"about_ca_system_score_gemma":0.00000838113,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01631813,"about_ca_topic_score_gemma":0.0208844,"domain_scores_codex":[0.9993458,0.00003232568,0.0001193444,0.0001754893,0.0001339458,0.0001930655],"domain_scores_gemma":[0.9993581,0.00005155339,0.00007268094,0.0004187025,0.00003511223,0.0000638177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001732958,0.000003805809,0.857455,0.000002591532,0.00002431102,0.00001083976,0.00001397008,0.004919973,0.000001667748,0.00007247924,0.01176057,0.1257174],"study_design_scores_gemma":[0.0001332608,0.00005849873,0.8639271,0.00001197925,0.0000354126,0.00002703207,0.00007229979,0.09811491,0.00001415879,0.003184196,0.0342614,0.0001597467],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7838982,0.0005712184,0.004428353,0.02677202,0.001659503,0.0001357267,0.000006157679,0.0001285223,0.1824003],"genre_scores_gemma":[0.9828941,0.00009915937,0.0001100415,0.0001786626,0.0001773377,7.190982e-8,0.000010575,8.869349e-7,0.01652913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.198996,"threshold_uncertainty_score":0.999724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04213784715490425,"score_gpt":0.2320975234401953,"score_spread":0.189959676285291,"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."}}