{"id":"W4398478784","doi":"10.7910/dvn/itvlik/wyj4o4","title":"HEAD","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Head (geology); Natural disaster; Natural (archaeology); Computer science; Environmental science; Geography; Geology; Meteorology; Archaeology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002414927,0.002423004,0.002536166,0.007200916,0.001300334,0.006093994,0.003080253,0.002241062,0.4958518],"category_scores_gemma":[0.025881,0.0008777434,0.001578466,0.008040288,0.0007545401,0.003467036,0.003967707,0.002225681,0.5363328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001570303,"about_ca_system_score_gemma":0.003252354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01301631,"about_ca_topic_score_gemma":0.01665692,"domain_scores_codex":[0.9977697,0.0004709977,0.0002001002,0.0007515369,0.0005077875,0.0002999368],"domain_scores_gemma":[0.9921649,0.00188889,0.0006897547,0.002186073,0.001627403,0.001443104],"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":[0.00002908106,0.000003287762,0.0002879708,0.0001477276,0.000009704531,0.000004822963,0.000005529128,0.00004634548,0.00001246432,0.0002927296,0.9969117,0.002248704],"study_design_scores_gemma":[0.0001195368,0.00001102941,0.001125186,0.0003390604,0.0000213083,0.00002418483,0.00004443212,0.0002368099,0.0001076041,0.002112997,0.9958397,0.00001822341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007798475,0.0001532821,0.0001062485,0.0004321629,0.0002328483,0.00001840331,0.9940503,0.0009975726,0.003931071],"genre_scores_gemma":[0.001075329,0.0003002594,0.0004221654,0.0005740285,0.0001401296,0.0001791313,0.9857254,0.0008672355,0.01071622],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5041482,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03031212269389051,"score_gpt":0.3105166874252965,"score_spread":0.280204564731406,"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."}}