{"id":"W2550817289","doi":"","title":"Search for Life in Deep Time and Space: The role of Precambrian rocks in analogue research","year":2014,"lang":"en","type":"article","venue":"2014 AGU Fall Meeting","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Precambrian; Deep time; Geology; Space (punctuation); Paleontology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001016844,0.0001449834,0.0003289024,0.001552984,0.001240898,0.003475218,0.0005561204,0.000544081,0.007123978],"category_scores_gemma":[0.009860773,0.0001281051,0.0001057843,0.002042021,0.008469776,0.003883523,0.001573699,0.001010451,0.0002258761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001869083,"about_ca_system_score_gemma":0.001432722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01343792,"about_ca_topic_score_gemma":0.01916775,"domain_scores_codex":[0.9996524,0.000144978,0.00001935314,0.00007158159,0.00006424155,0.00004752418],"domain_scores_gemma":[0.9976228,0.001230459,0.0003118334,0.000335905,0.0002997031,0.0001993162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004251717,0.00005300193,0.07536748,0.0006709871,0.00005989124,0.0005209114,0.02110546,0.002195403,0.00265629,0.44771,0.002703026,0.4465324],"study_design_scores_gemma":[0.00005382707,0.0001999418,0.2041907,0.001100999,0.00009167432,0.0009701377,0.02738637,0.003524421,0.001999099,0.6358083,0.1245907,0.00008377658],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7823414,0.0415973,0.005691937,0.02051003,0.0001962296,0.00003615207,0.0001672251,0.00004268673,0.1494172],"genre_scores_gemma":[0.990248,0.005906668,0.001327517,0.00024582,0.00007151416,0.000006230105,0.00002906236,0.00001122378,0.002153934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01343792,"threshold_uncertainty_score":0.02671939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02254455276218269,"score_gpt":0.2721665660747931,"score_spread":0.2496220133126104,"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."}}