{"id":"W4281755236","doi":"10.17504/protocols.io.6qpvr6qxbvmk/v1","title":"[RETRACTED] https://m.facebook.com/Condor-CBD-Gummies-102253132347755/ v1","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Coconut Research and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Advertising; Business","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":[0.0007416133,0.00153137,0.001158697,0.00173938,0.003668471,0.005384828,0.00210636,0.003720714,0.8843328],"category_scores_gemma":[0.008862027,0.0007994609,0.001097591,0.002248913,0.000987132,0.009241898,0.005473709,0.002942695,0.9087878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001391327,"about_ca_system_score_gemma":0.001625543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0123775,"about_ca_topic_score_gemma":0.02711598,"domain_scores_codex":[0.9992239,0.0000924323,0.00004171005,0.0001079809,0.0003564213,0.0001775529],"domain_scores_gemma":[0.9961693,0.0003392934,0.0001236373,0.0005201817,0.001895107,0.0009526035],"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":[0.000008461831,0.000007873286,0.00003794514,0.00004541652,9.643345e-7,0.00002501142,0.00003216809,0.000009913973,0.00003772339,0.0002893278,0.9883404,0.01116485],"study_design_scores_gemma":[0.000007357953,0.000007601561,0.0002155148,0.00007003544,0.000002005127,0.00003674184,0.00006928304,0.00003839621,0.00007272172,0.0002908123,0.9991794,0.0000101448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003208622,0.0006665637,0.0009585921,0.004016472,0.004428407,0.0003589714,0.01090501,0.01565913,0.962686],"genre_scores_gemma":[0.002067597,0.0007995639,0.0007793211,0.00469712,0.001044584,0.0003410201,0.007199755,0.005377726,0.9776934],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1156672,"threshold_uncertainty_score":0.1649852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03624053252588364,"score_gpt":0.3233621070855466,"score_spread":0.2871215745596629,"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."}}