{"id":"W6969353172","doi":"10.5281/zenodo.6071258","title":"Ravinia querula 1849","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Forensic Entomology and Diptera Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Identification (biology); Work (physics); Context (archaeology)","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":[0.0002243208,0.0007925157,0.0005144969,0.001526265,0.001662161,0.0007178365,0.0009485233,0.0008913624,0.02055184],"category_scores_gemma":[0.0007411707,0.000304151,0.0001654316,0.0008594733,0.0007374068,0.001653852,0.0009181586,0.0007141049,0.009997082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004656964,"about_ca_system_score_gemma":0.0002461174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005654404,"about_ca_topic_score_gemma":0.01287282,"domain_scores_codex":[0.9997602,0.00003883926,0.00002416037,0.00009145033,0.00006007042,0.00002528561],"domain_scores_gemma":[0.9998378,0.00003508749,0.00007257744,0.00001667211,0.00002671302,0.00001115188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003549709,0.0001459304,0.02000475,0.001404149,0.0001193193,0.00360885,0.003659073,0.001075634,0.0161549,0.01449677,0.05010821,0.8888674],"study_design_scores_gemma":[0.00006140446,0.0002702111,0.1349765,0.0008058731,0.0001340644,0.008688834,0.001603228,0.000518691,0.00257461,0.002607839,0.8477107,0.00004805977],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2344726,0.05453051,0.009157581,0.001507311,0.001750036,0.0008117647,0.006739811,0.001636336,0.689394],"genre_scores_gemma":[0.9137725,0.01100387,0.00671575,0.0007019769,0.0007958045,0.0002254979,0.003026908,0.0001161211,0.06364157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02055184,"threshold_uncertainty_score":0.06875271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03211129010044363,"score_gpt":0.2244850078994821,"score_spread":0.1923737177990385,"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."}}