{"id":"W6984702975","doi":"","title":"Page 72 Image 1","year":2013,"lang":"en","type":"article","venue":"Scholarly Commons (Embry–Riddle Aeronautical University)","topic":"Earthquake and Disaster Impact Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Honeymoon; Climax; Image (mathematics); Training (meteorology)","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":[0.0005253103,0.0002521963,0.0003248162,0.0002604995,0.002042023,0.0008830826,0.000846934,0.0002171715,0.001532219],"category_scores_gemma":[0.0006276781,0.0002626455,0.0001993728,0.0009594724,0.001039607,0.004677423,0.0005067456,0.0006556901,0.003279894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002101601,"about_ca_system_score_gemma":0.0002424072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003141214,"about_ca_topic_score_gemma":0.00279542,"domain_scores_codex":[0.997244,0.0005232231,0.0002243233,0.0004160794,0.0005966901,0.0009956901],"domain_scores_gemma":[0.9979798,0.0004286649,0.00008244609,0.0004823945,0.000338198,0.0006884573],"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":[0.0001520568,0.001179947,0.0801346,0.00005062274,0.0003787733,0.0004571461,0.0182082,0.000003326238,0.001800621,0.8005431,0.06494558,0.03214599],"study_design_scores_gemma":[0.002287703,0.000379991,0.1820769,0.00008450088,0.0002094687,0.000007362025,0.0480195,0.00003997065,0.0002178299,0.01082477,0.7546322,0.00121981],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4457386,0.0002222444,0.0003983704,0.008375852,0.0002270096,0.0003981167,0.00002171311,0.0002781465,0.5443399],"genre_scores_gemma":[0.9688747,0.0000924333,0.0009105393,0.0006366713,0.0001414409,0.000002710603,0.000008645771,0.00001978237,0.0293131],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7897184,"threshold_uncertainty_score":0.9999826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03023294829908424,"score_gpt":0.2554150026229272,"score_spread":0.2251820543238429,"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."}}