{"id":"W4240657012","doi":"10.3410/f.717097866.792402826","title":"Faculty Opinions recommendation of Goodbye, Columbus.","year":2012,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Library science; Data science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00219689,0.001688198,0.001711333,0.005930524,0.001039948,0.005163068,0.002119149,0.001358155,0.359837],"category_scores_gemma":[0.01351416,0.0008009406,0.001173356,0.01025021,0.0004439422,0.002795692,0.002972142,0.001757438,0.4913187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001388501,"about_ca_system_score_gemma":0.004773222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0214976,"about_ca_topic_score_gemma":0.06932088,"domain_scores_codex":[0.9982139,0.0002747931,0.0002018945,0.0003831938,0.0006213891,0.0003048318],"domain_scores_gemma":[0.9911703,0.001120519,0.0006399924,0.001847458,0.003114749,0.002107121],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001325156,0.0000050115,0.0001704689,0.00007604465,0.000003774309,0.00000197806,0.000004291071,0.000009230517,0.00002083741,0.00006259995,0.9981861,0.001446405],"study_design_scores_gemma":[0.00004239224,0.000004685706,0.0009201558,0.00008393233,0.000007229049,0.000006816804,0.00002450087,0.00006014515,0.00008325454,0.000234587,0.9985251,0.000007294082],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000774489,0.00007625559,0.0001003055,0.0002352249,0.0001017125,0.0000289353,0.9932014,0.000968141,0.005210619],"genre_scores_gemma":[0.0004282106,0.0001356157,0.0004203496,0.000177465,0.00004682151,0.00009783926,0.9872464,0.0004011276,0.01104609],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9978031,"threshold_uncertainty_score":0.9131148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04399274151385838,"score_gpt":0.3982386805202078,"score_spread":0.3542459390063494,"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."}}