{"id":"W7117964992","doi":"10.1145/3694907.3787198","title":"10.1145/3694907.3787198","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Earthquake and Disaster Impact Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Component (thermodynamics); Spatial contextual awareness; Training (meteorology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001467037,0.002292678,0.001931616,0.002861761,0.00235844,0.005068417,0.002478781,0.00451121,0.9456718],"category_scores_gemma":[0.00398769,0.001564787,0.001082991,0.008649541,0.001097115,0.009849451,0.005790658,0.002142978,0.9707444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591144,"about_ca_system_score_gemma":0.0008334856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01161055,"about_ca_topic_score_gemma":0.009465162,"domain_scores_codex":[0.9994486,0.00004254827,0.0000499927,0.0001487957,0.0002123595,0.00009764564],"domain_scores_gemma":[0.9983039,0.0004281015,0.00007981076,0.0005137972,0.0003922819,0.0002820388],"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":[0.0001425484,0.0001125065,0.0004878355,0.0005471198,0.00003083628,0.0001371858,0.0001105262,0.000388146,0.0006766234,0.005759625,0.6724194,0.3191876],"study_design_scores_gemma":[0.00001933576,0.0000176557,0.0007770105,0.000246748,0.00002740121,0.0001150473,0.00006651326,0.0003005885,0.0002521655,0.001012117,0.9971445,0.00002070446],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00137283,0.004876025,0.00663387,0.001473364,0.00208745,0.000253434,0.01452645,0.009953221,0.9588233],"genre_scores_gemma":[0.003262122,0.003159042,0.001569645,0.0006040969,0.0002200005,0.000137098,0.008522379,0.00179083,0.9807348],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0543282,"threshold_uncertainty_score":0.07749254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304169445043375,"score_gpt":0.2426351037970113,"score_spread":0.2295934093465775,"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."}}