{"id":"W6982717014","doi":"","title":"+91-9116799099 job problem solution in berlin","year":2021,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bengali; MAGIC (telescope); Cheating; Kali; Phone","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002893154,0.0005045154,0.0007590677,0.0004429284,0.00008892378,0.00009297696,0.0006198431,0.0007949542,0.6468551],"category_scores_gemma":[0.001992964,0.0005868011,0.0002488906,0.0003672028,0.00008341574,0.0001086896,0.0007370325,0.0007067829,0.2820646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004119714,"about_ca_system_score_gemma":0.000206087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001243675,"about_ca_topic_score_gemma":0.003876407,"domain_scores_codex":[0.9954296,0.0006237793,0.0009811103,0.001915673,0.0005493769,0.0005005042],"domain_scores_gemma":[0.9956446,0.0003519207,0.0006985887,0.003026709,0.0001209554,0.0001572808],"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":[0.00005109654,0.0007510841,0.03326097,0.001845076,0.0002439996,0.00006104394,0.001207237,0.0004806681,0.0005549037,0.03024352,0.9118288,0.01947156],"study_design_scores_gemma":[0.001385564,0.000001316213,0.01390985,0.002248853,0.0001739433,0.00005978564,0.00006687346,0.004914138,0.0003532361,0.07798983,0.8976567,0.001239952],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001426411,0.000009493472,0.00548967,0.0002621318,0.0004161887,0.001557065,0.00003091387,0.0003006856,0.9905074],"genre_scores_gemma":[0.004197263,0.0001271261,0.02671916,0.00005513823,0.0002284369,0.0002798621,0.0002304961,0.0003908498,0.9677716],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3647905,"threshold_uncertainty_score":0.9996583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03787927989141263,"score_gpt":0.3099324536215349,"score_spread":0.2720531737301223,"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."}}