{"id":"W6958911114","doi":"10.7288/v4/magic/19621","title":"PSV10: A Global Data Set for 0–10 Ma Time‐Averaged Field and Paleosecular Variation Studies (Dataset)","year":2022,"lang":"en","type":"dataset","venue":"UC San Diego","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Field (mathematics); Variation (astronomy); Set (abstract data type); Data set","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001598399,0.000794288,0.001044502,0.0002194917,0.00058078,0.0002393163,0.001961369,0.0003898841,0.034357],"category_scores_gemma":[0.002864996,0.0008279366,0.0001243448,0.0004604648,0.0001250635,0.0004104344,0.00373005,0.0005559298,0.001463354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003044203,"about_ca_system_score_gemma":0.000188359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003893036,"about_ca_topic_score_gemma":0.00241716,"domain_scores_codex":[0.995454,0.0004969057,0.0007080054,0.001761573,0.0008628475,0.0007167092],"domain_scores_gemma":[0.9942798,0.0009489707,0.0006010045,0.003846373,0.0001361305,0.000187708],"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":[0.0004699852,0.0001437174,0.00002534588,0.0005437175,0.00140267,0.0001680527,0.00006448526,0.000006441821,0.000009303219,0.00001196161,0.9968635,0.0002908261],"study_design_scores_gemma":[0.001716139,0.0003542064,0.0001529028,0.00007927548,0.001435112,0.00005005168,0.0001240501,0.0002265803,0.000003247864,0.0003167368,0.994699,0.0008426786],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007519648,0.003868616,0.00003222543,0.0001072307,0.000532741,0.001663895,0.9935624,0.0001281923,0.0000295251],"genre_scores_gemma":[0.0000140656,0.000398617,0.0004591102,0.0006626054,0.0004258525,0.0003382868,0.9974744,0.00009317396,0.0001339197],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03289365,"threshold_uncertainty_score":0.9994171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06193835637833492,"score_gpt":0.3566393900710826,"score_spread":0.2947010336927477,"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."}}