{"id":"W2101393456","doi":"10.2110/palo.2008.p08-045r","title":"The Microstructural Record of Predation: A New Approach for Identifying Predatory Drill Holes","year":2008,"lang":"en","type":"article","venue":"Palaios","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Institute for Critical Technology and Applied Science; Institute for Critical Technologies and Applied Science, Virginia Tech; National Science Foundation","keywords":"Predation; Drill; Geology; Paleontology; Drill hole; Mining engineering; Ecology; Biology; Engineering; Mechanical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002895252,0.00006422844,0.0001025077,0.00002811902,0.0004116987,0.00001382845,0.0002390775,0.00007424094,0.0004705765],"category_scores_gemma":[0.0001276157,0.00004138681,0.0000490598,0.00007112238,0.0002695641,0.00007950463,0.00001896683,0.00009354315,0.00003624934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001893901,"about_ca_system_score_gemma":0.00007979219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002442499,"about_ca_topic_score_gemma":0.0005694937,"domain_scores_codex":[0.9993176,0.00006418483,0.0001579512,0.0001614566,0.00007965777,0.0002191479],"domain_scores_gemma":[0.9994223,0.000266291,0.00006552848,0.0001502606,0.0000405054,0.00005509984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000102063,0.000003662116,0.9785775,0.00002115033,0.0000226846,6.489338e-7,0.000147805,0.00003381714,0.00007213019,0.00003318589,0.006034449,0.0149509],"study_design_scores_gemma":[0.0002415014,0.00007049772,0.9868641,0.000002033905,0.00000535641,0.00002667144,0.0000832918,0.002117227,0.0002778739,0.0006139444,0.009636879,0.00006054734],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944961,0.0004365733,0.0004979667,0.0001721911,0.0003225091,0.0004062401,0.00003515767,0.00001772423,0.003615503],"genre_scores_gemma":[0.9928199,0.0001240418,0.002407758,0.0000344843,0.0001502351,0.000005127943,0.0001535614,0.000001814319,0.004303092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01489035,"threshold_uncertainty_score":0.5152482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06614345692916766,"score_gpt":0.2758114371332184,"score_spread":0.2096679802040508,"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."}}