{"id":"W7098279348","doi":"","title":"Calibrating the Cryogenian","year":2016,"lang":"en","type":"article","venue":"","topic":"Engineering and Materials Science Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rodinia; Supercontinent; Snowball Earth; Laurentia; Glacial period; Geologic record; Paleomagnetism; Precambrian; Hadean","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000549679,0.00003765347,0.00003147717,0.000007596424,0.0000373402,0.00001351431,0.00006585808,0.000008099148,0.00007621659],"category_scores_gemma":[0.00001358647,0.00001466715,0.00001029141,0.00003397905,0.00002019133,0.00004873698,0.00001296131,0.0000104527,0.00006244925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005446367,"about_ca_system_score_gemma":0.000001319496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002688723,"about_ca_topic_score_gemma":0.000005043614,"domain_scores_codex":[0.9997778,0.000002423455,0.00004537848,0.00003604918,0.00003751221,0.0001008541],"domain_scores_gemma":[0.999879,0.00002676235,0.000002203381,0.00007354857,0.000003970548,0.00001448802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[3.96799e-7,0.000001284538,0.0001638303,0.00001068105,0.00001408271,0.000001019891,0.000272107,0.002749226,0.964848,0.006766224,0.01164432,0.01352883],"study_design_scores_gemma":[0.0003548948,0.00003004829,0.006082128,0.00007116477,0.00001156713,0.00001609508,0.0004270779,0.01063524,0.8639542,0.001301396,0.116591,0.0005251876],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7673519,0.0003194269,0.1360983,0.002561447,0.001762067,0.0001041864,0.000005304447,0.00191629,0.08988109],"genre_scores_gemma":[0.998488,0.00002544254,0.0006395096,0.00002596397,0.00006812733,0.00000596933,2.981454e-8,0.000005661836,0.0007412767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2311362,"threshold_uncertainty_score":0.08345181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003908108358302009,"score_gpt":0.1486539350241092,"score_spread":0.1447458266658072,"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."}}