{"id":"W6917308869","doi":"10.57745/9vd44e","title":"reads_R2.zip","year":2024,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Livestock and Meat Agency; University of Alberta","funders":"","keywords":"Identification (biology); Process (computing); Term (time); Context (archaeology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002213098,0.00433711,0.002878156,0.004456134,0.002323826,0.004541222,0.004691302,0.0037016,0.2975416],"category_scores_gemma":[0.01038424,0.002140896,0.002294839,0.007019342,0.0007261902,0.002402678,0.003299675,0.0027489,0.3821893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002257699,"about_ca_system_score_gemma":0.003642789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02219596,"about_ca_topic_score_gemma":0.02805785,"domain_scores_codex":[0.9975619,0.0004526616,0.0002337525,0.0008944649,0.0005023119,0.0003547849],"domain_scores_gemma":[0.9955168,0.001644676,0.0002622842,0.001169088,0.001115811,0.0002913926],"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":[0.000113898,0.0000221537,0.0003381033,0.0005699027,0.00003482757,0.00001846485,0.00002955839,0.0002031958,0.0003192709,0.0005443324,0.99585,0.001956375],"study_design_scores_gemma":[0.0003613895,0.00002635729,0.001756253,0.0002148916,0.00004529504,0.00004714886,0.00006990802,0.0004358917,0.001364352,0.002207493,0.9934077,0.00006338532],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007531358,0.00003635396,0.0002103,0.00004764154,0.0000220234,0.00001700015,0.9963757,0.002168281,0.001047291],"genre_scores_gemma":[0.0002959832,0.00003016024,0.000604518,0.0000672587,0.000008413397,0.0001050485,0.9965413,0.001242138,0.001105079],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7024584,"threshold_uncertainty_score":0.9953759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4648046674405524,"score_gpt":0.474533865389298,"score_spread":0.00972919794874555,"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."}}