{"id":"W6996899802","doi":"","title":"TITAN GEL ASLI DI BEKASI 085877651892 OBAT PEMBESAR PENIS COD BEKASI","year":2020,"lang":"id","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Titan (rocket family); Operational costs","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":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.005153249,0.002188057,0.003318638,0.0004096062,0.0006258179,0.0006892373,0.004366275,0.002028242,0.9199582],"category_scores_gemma":[0.04395552,0.002359116,0.001173855,0.0007152248,0.001046485,0.0002677239,0.005390577,0.003852715,0.9254833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008149463,"about_ca_system_score_gemma":0.0008711949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003121817,"about_ca_topic_score_gemma":0.0001231342,"domain_scores_codex":[0.982522,0.003902431,0.002798853,0.006891074,0.001947449,0.001938267],"domain_scores_gemma":[0.9791159,0.007663102,0.001892418,0.009226597,0.0005057585,0.001596201],"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":[0.0006896564,0.003632986,0.00611447,0.007375744,0.003464474,0.0008615318,0.007831302,0.00005079068,0.006614961,0.3299603,0.5590538,0.07435004],"study_design_scores_gemma":[0.0021593,0.00002615146,0.005761708,0.0019841,0.001627478,0.0001160094,0.0005962807,0.002350608,0.003209675,0.1431803,0.835648,0.003340457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007102466,0.00001664028,0.07138044,0.0008464808,0.001643465,0.003259026,0.0005707178,0.0005654503,0.9210075],"genre_scores_gemma":[0.003615042,0.0006338218,0.1342114,0.0005465741,0.0008724046,0.0004994261,0.0001447163,0.0009830589,0.8584936],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2765942,"threshold_uncertainty_score":0.9992673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04454260081932408,"score_gpt":0.3213517594523317,"score_spread":0.2768091586330076,"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."}}