{"id":"W6917401758","doi":"10.57745/xla6dl","title":"MARE.20220802.recipeA.gff3","year":2023,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.01298188,0.001653412,0.001854155,0.0007538509,0.0003053,0.0004160673,0.01515476,0.003699921,0.001789663],"category_scores_gemma":[0.01686027,0.001759601,0.0002885667,0.004525035,0.0004367496,0.001086463,0.006720019,0.008459828,0.4971417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001386112,"about_ca_system_score_gemma":0.001363718,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007747564,"about_ca_topic_score_gemma":0.004179117,"domain_scores_codex":[0.9871022,0.003415714,0.001480139,0.003969246,0.00204573,0.001987015],"domain_scores_gemma":[0.9762561,0.003705333,0.001042823,0.0181142,0.0003225911,0.0005590039],"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":[0.00008193,0.0002202257,0.00001627653,0.0006806343,0.0003761345,0.0003579746,0.00002791496,0.000008383157,0.00008123401,0.000004547218,0.9936537,0.004491091],"study_design_scores_gemma":[0.0007698613,0.00005456159,0.0002324408,0.0007715986,0.000381454,0.00004605233,0.00004371836,0.000188402,0.00003308524,0.0002753322,0.9953421,0.001861398],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00000726768,0.003493528,0.00005965778,0.0004315335,0.003315973,0.001210945,0.989536,0.001359193,0.0005858716],"genre_scores_gemma":[1.522596e-7,0.006931297,0.004009653,0.000676762,0.002187023,0.0002845117,0.970773,0.0007975251,0.01434003],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.495352,"threshold_uncertainty_score":0.9996213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5683445255668504,"score_gpt":0.4758272672819199,"score_spread":0.09251725828493051,"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."}}