{"id":"W6960731535","doi":"10.1371/journal.pone.0110710.g002","title":"Progression of carcass scavenging and degradation for Carcass 2, 2007.","year":2016,"lang":"en","type":"other","venue":"Figshare","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scavenging; Torso; Skeleton (computer programming); Degradation (telecommunications); Carcass weight; Rib cage","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":[],"consensus_categories":[],"category_scores_codex":[0.0004307664,0.0005274988,0.0003654693,0.001134138,0.0006551179,0.001253748,0.0005899474,0.000572817,0.02252808],"category_scores_gemma":[0.0004785793,0.0003759653,0.0004467321,0.0004985573,0.0002431802,0.0005041322,0.0006640001,0.001142013,0.00942311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00143049,"about_ca_system_score_gemma":0.0009917265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01508773,"about_ca_topic_score_gemma":0.04918736,"domain_scores_codex":[0.9997417,0.00001299673,0.00001327044,0.00009675809,0.00008594713,0.00004936475],"domain_scores_gemma":[0.999465,0.00001697453,0.00008537404,0.0000329182,0.0002336347,0.000165953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007348882,0.001586812,0.3523465,0.0009779041,0.0002599828,0.0009803707,0.0007946169,0.00246424,0.115694,0.003222678,0.162898,0.351426],"study_design_scores_gemma":[0.00003727001,0.0009697462,0.9285886,0.000104614,0.00004477643,0.0003747079,0.0006196204,0.001512144,0.0110879,0.000452288,0.0561653,0.00004307068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7279252,0.01076207,0.006059694,0.002217099,0.001474172,0.0008319279,0.1077701,0.002239717,0.1407201],"genre_scores_gemma":[0.6576679,0.003622539,0.0108151,0.0009807551,0.0001264861,0.0003612987,0.07334368,0.0004596854,0.2526226],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02252808,"threshold_uncertainty_score":0.07536393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03307237350699682,"score_gpt":0.2694238623824479,"score_spread":0.236351488875451,"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."}}