{"id":"W6964699812","doi":"10.25625/rzz9vm/mmkkij","title":"2023-03-RZZ9VM_CANADIAN_SHIELD_PROTEROZOIC.csv","year":2023,"lang":"en","type":"dataset","venue":"Göttingen Research Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[0.0006006137,0.001601207,0.001377359,0.004584338,0.001456866,0.003374054,0.002452702,0.001565732,0.2539241],"category_scores_gemma":[0.004715875,0.0008460645,0.0008523275,0.01123697,0.000468015,0.001362554,0.002007524,0.001481036,0.2126924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004501652,"about_ca_system_score_gemma":0.008606604,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.507398,"about_ca_topic_score_gemma":0.6676558,"domain_scores_codex":[0.9993978,0.00004329135,0.00003518243,0.0001438723,0.0001696309,0.0002102454],"domain_scores_gemma":[0.9978558,0.0003750991,0.0001469756,0.0003895156,0.0008964469,0.0003360477],"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":[0.00001610447,0.000003089066,0.0002252654,0.0001513588,0.000006908244,0.000005409477,0.0000114746,0.00007394531,0.00002194217,0.0004371094,0.9982328,0.0008144956],"study_design_scores_gemma":[0.00007562611,0.000002631336,0.002075334,0.000157625,0.000008481973,0.000008865902,0.00005326465,0.00009788333,0.00009279382,0.0005631397,0.9968494,0.00001496654],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003042722,0.00003030345,0.00001198916,0.00003777286,0.00001047807,0.000002391212,0.9986337,0.0001137845,0.001129086],"genre_scores_gemma":[0.0002957158,0.00006255945,0.0001073396,0.00004100733,0.000005969415,0.00002316468,0.9967024,0.0001180576,0.002643895],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.492602,"threshold_uncertainty_score":0.9910061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2110415874116063,"score_gpt":0.469311868304516,"score_spread":0.2582702808929097,"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."}}