{"id":"W6931707211","doi":"10.5281/zenodo.4779484","title":"Bring back Lost love in 24hrs, +27789189922 in,Fort Worth Columbus Charlotte San Francisco Indianapolis Seattle Denver Washington Boston El Paso Nashville Detroit Oklahoma City Portland Las Vegas","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spell; MAGIC (telescope); Psychic; Ledger","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":[0.002762856,0.0002633736,0.0004168071,0.0008592564,0.0007727083,0.002336107,0.001424422,0.0001636505,0.0499238],"category_scores_gemma":[0.002546566,0.0002777851,0.00009982091,0.00384634,0.0002183199,0.001144172,0.002178323,0.0007181716,0.02645993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005531845,"about_ca_system_score_gemma":0.00007576474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001974928,"about_ca_topic_score_gemma":0.001496289,"domain_scores_codex":[0.9945747,0.0008057812,0.0008471863,0.001038757,0.001828634,0.000904998],"domain_scores_gemma":[0.9969798,0.0001572109,0.0002409756,0.0009211408,0.001305849,0.0003950446],"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":[0.002240196,0.001839661,0.1081882,0.0002435132,0.0002009109,0.002792872,0.02234189,0.001562811,0.01814506,0.001950544,0.7647793,0.07571508],"study_design_scores_gemma":[0.002568448,0.000591453,0.2590978,0.0001994932,0.00001208743,0.000229288,0.005195688,0.002708219,0.00370963,0.0009682347,0.7240404,0.0006792758],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8563932,0.0001758004,0.0004743182,0.001515778,0.0002052004,0.0005749179,0.0002785266,0.00007561785,0.1403066],"genre_scores_gemma":[0.9855224,0.00007690133,0.000134817,0.0001967574,0.0002086581,1.094882e-7,0.000645292,0.0004812329,0.0127338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1509096,"threshold_uncertainty_score":0.9999675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05409017997064108,"score_gpt":0.3147788582606886,"score_spread":0.2606886782900475,"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."}}