{"id":"W7116276351","doi":"10.4231/n71t-hb95","title":"FP Canada Research Stage 1","year":2025,"lang":"en","type":"dataset","venue":"Purdue University Research Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Deliverable; Benchmarking; Blueprint; Complaint; Pipeline (software); Protocol (science); Vetting; Corporate governance; Metadata; Copying","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","sts","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.008216796,0.0006539146,0.0008811668,0.005144951,0.004399539,0.0004743772,0.006623925,0.001040438,0.00049123],"category_scores_gemma":[0.002683353,0.0008035203,0.0002504601,0.005930453,0.002112146,0.0004232911,0.005823115,0.01061148,0.0006646177],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.02036765,"about_ca_system_score_gemma":0.0488134,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9822874,"about_ca_topic_score_gemma":0.9441126,"domain_scores_codex":[0.9756491,0.009165242,0.000527269,0.002148669,0.009220679,0.003288993],"domain_scores_gemma":[0.9850499,0.00346712,0.0002273491,0.004633306,0.005318824,0.001303521],"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":[0.0005157235,0.000258468,0.000117829,0.0008596621,0.0003371543,0.01790329,0.00004092758,0.00001898754,0.0002869921,0.0002465009,0.9793684,0.00004609318],"study_design_scores_gemma":[0.0006318961,0.000149406,0.0001631723,0.0004542828,0.00006380731,0.00002844265,0.00183339,0.00002422505,0.0004695654,0.000009977308,0.9955592,0.0006126835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008492797,0.0005480858,4.747138e-7,0.0003176677,0.000961074,0.001452391,0.9350863,0.0001246787,0.06066005],"genre_scores_gemma":[0.0002684354,0.0003244957,0.00001533824,0.00001834716,0.0004623008,0.00001048281,0.7008942,0.00005022876,0.2979561],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2372961,"threshold_uncertainty_score":0.9994416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06679624817577862,"score_gpt":0.3570200175913661,"score_spread":0.2902237694155875,"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."}}