{"id":"W6939704569","doi":"10.6084/m9.figshare.14948220.v1","title":"Drdepth 4 0 10 Keygen Tsrh","year":2021,"lang":"fa","type":"article","venue":"Figshare","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Software; Data presentation; Password; Key (lock); Power (physics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001829128,0.001800555,0.001260452,0.001701216,0.002379186,0.006177795,0.002988752,0.002562607,0.8865384],"category_scores_gemma":[0.01088929,0.001152249,0.0009739028,0.001333442,0.001083043,0.006982782,0.008038916,0.002766229,0.8839061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002174525,"about_ca_system_score_gemma":0.002848111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004442553,"about_ca_topic_score_gemma":0.004530313,"domain_scores_codex":[0.9977506,0.0003601775,0.0001274802,0.0004909137,0.0008314473,0.0004394446],"domain_scores_gemma":[0.9955357,0.0004952643,0.0001370273,0.001242038,0.001722052,0.0008678741],"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":[0.00007478842,0.00001097781,0.0000936273,0.0001300454,0.000002693021,0.00003456076,0.00009785424,0.00006113233,0.0004569298,0.004160924,0.9800649,0.01481155],"study_design_scores_gemma":[0.00001462384,0.000009122854,0.0000990073,0.0000455136,0.000002234006,0.0000519969,0.00008875872,0.00007160485,0.0004488305,0.001586199,0.9975721,0.000009985508],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001035656,0.0006338164,0.01205079,0.00418254,0.003665576,0.0006013602,0.05608045,0.07673165,0.8450181],"genre_scores_gemma":[0.01138336,0.0006499681,0.004715327,0.003158691,0.0006565043,0.000707983,0.0533565,0.0566316,0.8687401],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1134616,"threshold_uncertainty_score":0.1618391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09649143015360014,"score_gpt":0.2198501009128005,"score_spread":0.1233586707592004,"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."}}