{"id":"W6918211928","doi":"10.5880/wsm.india2024","title":"Stress Map of India 2024","year":2024,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Parasite Biology and Host Interactions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"ExxonMobil (Canada)","funders":"","keywords":"Tectonics; Stress (linguistics); Grid; Stress field; Orientation (vector space); Reliability (semiconductor)","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":[],"consensus_categories":[],"category_scores_codex":[0.0004330284,0.001205305,0.0007143759,0.004436511,0.0005308072,0.001593377,0.001457429,0.0006082382,0.02620264],"category_scores_gemma":[0.00180752,0.0003289162,0.0008434288,0.01025258,0.0003231036,0.0007695869,0.001229535,0.0007227034,0.04730916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009311714,"about_ca_system_score_gemma":0.001814088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03875701,"about_ca_topic_score_gemma":0.0447798,"domain_scores_codex":[0.9994336,0.00006458159,0.00009790974,0.000135104,0.000150155,0.0001186945],"domain_scores_gemma":[0.9988407,0.0001148598,0.0001367077,0.0002718949,0.0005409948,0.00009494697],"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":[0.0002004484,0.00005655103,0.01457852,0.001251766,0.00008507818,0.0001520947,0.0001664622,0.001161269,0.0006253548,0.001200757,0.9653549,0.01516678],"study_design_scores_gemma":[0.00007502139,0.00003356598,0.08071182,0.0002746964,0.00005882058,0.0002189553,0.0005158372,0.0009122691,0.00112321,0.0008300563,0.915177,0.00006871099],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001196648,0.00006415489,0.00006869568,0.00004620652,0.00002557099,0.000007995844,0.9967504,0.0004001025,0.001440309],"genre_scores_gemma":[0.001849873,0.00006137673,0.0001881247,0.00001772383,0.000008325105,0.00003665171,0.9970251,0.00004401772,0.0007688913],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03875701,"threshold_uncertainty_score":0.08765662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02438767977811629,"score_gpt":0.3735904587605158,"score_spread":0.3492027789823995,"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."}}