{"id":"W7052897535","doi":"","title":"South Carolina Wildlife, July-August 1976","year":2022,"lang":"en","type":"article","venue":"The South Carolina State Library Digital Collections (South Carolina State Library)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"South carolina; Wildlife; Recreation; Natural (archaeology); Natural resource; Quarter (Canadian coin)","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":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0002218141,0.001440532,0.001183189,0.001302786,0.003348458,0.001729665,0.002276339,0.0002451873,0.0006306372],"category_scores_gemma":[0.00007941672,0.001399996,0.0008602814,0.006610034,0.0005088806,0.003620939,0.001707973,0.002297153,0.0006006651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002054699,"about_ca_system_score_gemma":0.0007092474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003091526,"about_ca_topic_score_gemma":0.00000308398,"domain_scores_codex":[0.9932423,0.0003151958,0.001690022,0.001447739,0.001171981,0.002132769],"domain_scores_gemma":[0.9957754,0.000626548,0.0004951972,0.002048264,0.00009261657,0.0009620012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008110852,0.0006426928,0.01926206,0.0003840449,0.001370983,0.000502437,0.02902571,0.4299863,0.00006610227,0.002293786,0.5142215,0.001433288],"study_design_scores_gemma":[0.004414851,0.0008304194,0.005516715,0.0001172477,0.0005220267,0.0003451648,0.004483156,0.03423068,0.002385024,0.02416431,0.9187197,0.004270695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7745024,0.0008806792,0.00124546,0.002375187,0.00240847,0.003464278,0.05481197,0.006813862,0.1534977],"genre_scores_gemma":[0.936906,0.0001739773,0.0004235525,0.001199618,0.0006118133,0.001348092,0.002035255,0.0007671174,0.05653455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4044982,"threshold_uncertainty_score":0.9998345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006671203113242831,"score_gpt":0.1713638658238515,"score_spread":0.1646926627106087,"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."}}