{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00181585,0.003286514,0.002395695,0.008038908,0.001926626,0.004893087,0.003903961,0.003813996,0.3833974],"category_scores_gemma":[0.01150664,0.001497619,0.00159493,0.01338136,0.0008101639,0.002268795,0.003336411,0.002111359,0.4446429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002425856,"about_ca_system_score_gemma":0.006342984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0445974,"about_ca_topic_score_gemma":0.06980801,"domain_scores_codex":[0.9981257,0.0002458361,0.0001797493,0.0006370621,0.0004519037,0.0003596946],"domain_scores_gemma":[0.9940149,0.001606855,0.0005092011,0.001375049,0.001657002,0.0008370351],"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":[0.00004768685,0.00001188009,0.0003380224,0.0005557326,0.00001483343,0.00000729837,0.00002750475,0.00008110004,0.00008791639,0.0002743877,0.9974783,0.001075404],"study_design_scores_gemma":[0.000310685,0.00001859788,0.002308256,0.0003186286,0.00003772378,0.00002335435,0.00008116793,0.0001316483,0.0002128876,0.0008708277,0.995654,0.00003213441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002197327,0.00002443775,0.00002249719,0.0000246875,0.00001288837,0.00000561923,0.9992084,0.0001882935,0.0004912823],"genre_scores_gemma":[0.0001308632,0.00004264378,0.0002085168,0.00005362109,0.000006788514,0.00005718271,0.9983359,0.0001631054,0.001001369],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6166026,"threshold_uncertainty_score":0.8795088,"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."}}