{"id":"W2106044493","doi":"10.2110/palo.2009.p09-011r","title":"EFFECTS OF DATA CATEGORIZATION ON PALEOCOMMUNITY ANALYSIS: A CASE STUDY FROM THE PENNSYLVANIAN FINIS SHALE OF TEXAS","year":2010,"lang":"en","type":"article","venue":"Palaios","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada; University of Alberta","funders":"San Diego State University; National Science Foundation","keywords":"Pennsylvanian; Oil shale; Categorization; Geology; Paleontology; Artificial intelligence; 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":[0.005647505,0.0003313633,0.0002671629,0.00164105,0.001683976,0.001441917,0.0008767871,0.0005699826,0.0003731674],"category_scores_gemma":[0.01441856,0.0001772293,0.0003813437,0.003400186,0.001002063,0.000645637,0.001127967,0.0004176692,0.00009108511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002164759,"about_ca_system_score_gemma":0.001323531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04351594,"about_ca_topic_score_gemma":0.08700477,"domain_scores_codex":[0.9969574,0.001620208,0.0002868931,0.000338372,0.0006134725,0.000183668],"domain_scores_gemma":[0.9816632,0.01127732,0.001978992,0.001310734,0.003301574,0.0004681658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001513175,0.0001962059,0.9651661,0.0000730582,0.00006191942,0.001278382,0.00392928,0.004295318,0.002310234,0.0004527178,0.0004681373,0.02161732],"study_design_scores_gemma":[0.00003015416,0.000242933,0.935455,0.0001094818,0.00009525269,0.0009953236,0.01300197,0.04090985,0.005286194,0.0006474984,0.0031764,0.00004993357],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986066,0.00004030412,0.0007627687,0.00009666428,0.000001663842,0.00001913599,0.000125017,0.00001131884,0.0003365195],"genre_scores_gemma":[0.9943189,0.00003848084,0.005114786,0.00002462778,0.000003455384,0.00001894761,0.0003350375,0.0000120324,0.0001337501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04351594,"threshold_uncertainty_score":0.08652526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03764095130391205,"score_gpt":0.295202116941993,"score_spread":0.257561165638081,"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."}}