{"id":"W7017484510","doi":"","title":"+91-9829791419^% Black Magic To Kill Enemy In Delhi, Goa","year":2021,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mantra; MAGIC (telescope); Spell; nobody; Unicorn","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":[0.001738474,0.0006540799,0.0006713796,0.0003384786,0.00004890107,0.0001074714,0.001510728,0.0009948889,0.4453668],"category_scores_gemma":[0.002400522,0.00075811,0.0002857114,0.0003008562,0.0001592188,0.000006394471,0.002899276,0.0007767904,0.459418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001424114,"about_ca_system_score_gemma":0.0002781678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004670579,"about_ca_topic_score_gemma":0.001037985,"domain_scores_codex":[0.995347,0.0004886732,0.0007677255,0.002286781,0.0004213906,0.0006884177],"domain_scores_gemma":[0.9944646,0.00006776906,0.000401982,0.004638289,0.0001037453,0.0003235513],"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":[0.0001075078,0.0003492472,0.0134904,0.0007217526,0.0003650175,0.0000688561,0.0007776672,0.003237987,0.01371359,0.0002484426,0.959448,0.007471469],"study_design_scores_gemma":[0.0005800276,0.000003763918,0.001698716,0.0003525979,0.00003926734,0.00003776628,0.00009115794,0.0003365431,0.005259527,0.00007945072,0.9907379,0.0007833127],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007080047,0.00002069597,0.001938627,0.000190046,0.000386694,0.001025386,0.00004703119,0.00008475025,0.9892267],"genre_scores_gemma":[0.003978033,0.0004639192,0.008150077,0.0007982591,0.0003376882,0.00009692138,0.000538155,0.0004137995,0.9852232],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0312898,"threshold_uncertainty_score":0.999487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00749757131324705,"score_gpt":0.2602182729025893,"score_spread":0.2527207015893422,"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."}}