{"id":"W6969467905","doi":"10.5683/sp3/wu14sm","title":"Bioline Platform database and files","year":2025,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Publishing; Electronic publishing; Visibility; Public access; The Internet; Public domain; Domain (mathematical analysis); Knowledge base; Resource (disambiguation)","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":[],"consensus_categories":[],"category_scores_codex":[0.001912223,0.001561849,0.001678748,0.00755899,0.001075022,0.003445,0.003312788,0.00170602,0.1293974],"category_scores_gemma":[0.01194628,0.0009979374,0.001178458,0.01108848,0.0006050743,0.002758698,0.002271135,0.002251382,0.1406788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001945504,"about_ca_system_score_gemma":0.004055541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01938962,"about_ca_topic_score_gemma":0.02863397,"domain_scores_codex":[0.9980259,0.0002674452,0.0004311302,0.0006143638,0.0004234554,0.0002376924],"domain_scores_gemma":[0.9959715,0.001229529,0.000456085,0.0009261913,0.0009650565,0.0004517186],"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":[0.00009894137,0.00002549404,0.0007387227,0.001323955,0.00003527369,0.00004408412,0.00005017396,0.0002366465,0.0002122544,0.001319336,0.9926974,0.003217674],"study_design_scores_gemma":[0.00009585221,0.00001333443,0.002156369,0.0002688357,0.00001580664,0.00005738168,0.00008026384,0.0001374798,0.0001930305,0.001008667,0.9959473,0.00002570892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000661173,0.00004318596,0.00006837265,0.00004350094,0.00001338537,0.00001749983,0.9986815,0.0003328246,0.0007336512],"genre_scores_gemma":[0.0002233386,0.00005011477,0.000290564,0.00003784153,0.00000466469,0.0001217781,0.9987007,0.0001141281,0.0004567538],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1293974,"threshold_uncertainty_score":0.4328775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02553768551287213,"score_gpt":0.2942882865663499,"score_spread":0.2687506010534778,"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."}}