{"id":"W6955046424","doi":"10.57907/mirri/s0pumu","title":"MIRRI0087631","year":2022,"lang":"en","type":"dataset","venue":"Entrepôt pour orphelin","topic":"Coastal Management and Development","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Organism; Taxon; Identification (biology); Natural (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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002904669,0.000349059,0.0002542879,0.00008675464,0.0002004427,0.00006385751,0.0007449194,0.0001043912,0.997665],"category_scores_gemma":[0.00004394112,0.0003470664,0.0001382851,0.0002395692,0.00006252134,0.0000830751,0.002718088,0.0003847572,0.6220944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003780689,"about_ca_system_score_gemma":0.0000348218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00131764,"about_ca_topic_score_gemma":0.0005709031,"domain_scores_codex":[0.9976853,0.00008704181,0.0003592814,0.0006490075,0.0007746672,0.0004447624],"domain_scores_gemma":[0.99896,0.00005562632,0.0001831669,0.000654628,0.000003919334,0.000142674],"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":[0.00001439718,0.0001388271,0.0002105309,0.00001788126,0.00002820889,0.0001172541,0.00002296307,0.000113831,0.00001570428,0.000002629878,0.9954458,0.00387193],"study_design_scores_gemma":[0.000265767,0.00002964279,0.0004368936,0.000009234746,0.00004296444,0.000006672653,0.00004583638,0.000006478297,0.00002044789,0.0001710124,0.998542,0.0004230725],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001854087,0.000119275,0.00002938349,0.0007007947,0.0009507817,0.0003986856,0.9966049,0.00008709171,0.0009237154],"genre_scores_gemma":[0.00002600619,0.0002233681,0.0003077391,0.0008705001,0.0001149825,0.00009603839,0.9706405,0.00002722871,0.02769357],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3755706,"threshold_uncertainty_score":0.9998981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007484363368969985,"score_gpt":0.2074053170597107,"score_spread":0.1999209536907408,"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."}}