{"id":"W6911326766","doi":"10.5281/zenodo.11351388","title":"((+27723039124)) Genuine / Effective Lost love Spells Caster , To bring back lost lover in 1 day in U.S.A, California, Australia, Netherlands, Connecticut, Canada, New Jersey, Hawaii, Massachusetts, Illinois, Texas, Washington D.C, Maryland, Virginia, New Hampshire, Florida, New York, Nebraska.","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Statistical Modeling Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychic; Spell; Face (sociological concept); Anger; Sorrow; Servant; Wish; Wife; Duty","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006738425,0.0007566119,0.0007757579,0.0009460248,0.00006456047,0.001189356,0.002556974,0.0003687638,0.0527342],"category_scores_gemma":[0.0004873274,0.0008139888,0.00009807564,0.001524003,0.00009854365,0.0003351801,0.002027749,0.001359016,0.3112009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001380378,"about_ca_system_score_gemma":0.000166571,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1518897,"about_ca_topic_score_gemma":0.05160936,"domain_scores_codex":[0.9949015,0.0004729651,0.0007860149,0.00174184,0.0009027707,0.001194865],"domain_scores_gemma":[0.9971439,0.0001749672,0.0002674028,0.001276992,0.000150689,0.0009860109],"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":[0.00007227005,0.00004757709,0.00003318868,0.0001533564,0.00006791238,0.0003807395,0.0007190711,0.0006016185,0.0000934826,0.0008428255,0.9811299,0.01585805],"study_design_scores_gemma":[0.0009724007,0.0002548025,0.0001666638,0.0009441894,0.00002853982,0.00008002958,0.00004540428,0.001724239,0.0001853013,0.001334457,0.9933679,0.0008960915],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0001261387,0.001000095,0.5536184,0.003540332,0.0008349055,0.002686635,0.001571988,0.0003531114,0.4362684],"genre_scores_gemma":[0.0008271375,0.0001235396,0.02624442,0.0009250554,0.000976281,3.159704e-8,0.0004612197,0.004409967,0.9660323],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.529764,"threshold_uncertainty_score":0.9998475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02891747684931302,"score_gpt":0.2557592212051862,"score_spread":0.2268417443558732,"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."}}