{"id":"W7093526883","doi":"","title":"Excerpt: &lt;i&gt;Heaven Cracks, Earth Shakes&lt;/i&gt;","year":2012,"lang":"","type":"article","venue":"Insecta mundi","topic":"Chinese history and philosophy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Epicenter; Quarter (Canadian coin); Heaven; Foreshock; Population","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002279035,0.0008454697,0.0009216651,0.0003409061,0.003090635,0.0003275989,0.001428891,0.0008377617,0.008137484],"category_scores_gemma":[0.0005361452,0.000892755,0.0007068885,0.001487291,0.001522937,0.001949667,0.0003708189,0.0009139264,0.005876402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000498241,"about_ca_system_score_gemma":0.0006540453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002967173,"about_ca_topic_score_gemma":0.01474439,"domain_scores_codex":[0.9933819,0.00121795,0.001025634,0.0009654567,0.001547472,0.001861579],"domain_scores_gemma":[0.9960384,0.0005669156,0.0005332044,0.001257184,0.0002412493,0.001363023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006382927,0.003598212,0.0595408,0.0003997663,0.0005658392,0.0001399024,0.2679838,0.00003477973,0.02725776,0.5881594,0.04123082,0.01045059],"study_design_scores_gemma":[0.0008337625,0.0002577199,0.05449033,0.0001356698,0.0001685239,0.00002538677,0.00003823732,0.0000441607,0.00004163705,0.02542911,0.9173361,0.00119938],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5501341,0.01449945,0.00002868423,0.001603204,0.0104306,0.0006955763,0.0001377466,0.0002341175,0.4222365],"genre_scores_gemma":[0.9737046,0.0004936283,0.0001444205,0.0009952146,0.0110458,0.00005349468,0.00004380642,0.0001156618,0.01340336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8761052,"threshold_uncertainty_score":0.9993523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03189241161869195,"score_gpt":0.2733058423020557,"score_spread":0.2414134306833638,"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."}}