{"id":"W6893544179","doi":"10.5281/zenodo.16790959","title":"HTR-United/htr-united: v0.1.219","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Process (computing); Identification (biology); Work (physics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003198202,0.001985469,0.001512167,0.003857994,0.001099114,0.008341515,0.004602777,0.002929514,0.7653418],"category_scores_gemma":[0.01895663,0.001770918,0.001421829,0.00516393,0.0006851896,0.005954726,0.004449375,0.002437228,0.8445156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001937369,"about_ca_system_score_gemma":0.002395536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01182779,"about_ca_topic_score_gemma":0.008048591,"domain_scores_codex":[0.9977133,0.0004254318,0.0001903302,0.0003379541,0.001021968,0.0003109997],"domain_scores_gemma":[0.9943138,0.001284517,0.000327664,0.0012839,0.002321991,0.0004680625],"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":[0.00005147116,0.00001110085,0.00009768274,0.0002366834,0.000008477469,0.00001154607,0.00002323889,0.0001459448,0.00009333166,0.002146419,0.9868428,0.01033132],"study_design_scores_gemma":[0.00004812745,0.00001183786,0.0003503157,0.0001554688,0.000009752355,0.0000487515,0.00002033717,0.000216106,0.0004204382,0.003716573,0.9949777,0.00002471791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0005087953,0.001204247,0.01339312,0.001714058,0.001315617,0.0002691926,0.5466644,0.1095424,0.3253881],"genre_scores_gemma":[0.006168702,0.001300205,0.01130551,0.001928245,0.0005776125,0.0007660936,0.5302805,0.198365,0.2493082],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.7653418,"threshold_uncertainty_score":0.3347115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05528001518808351,"score_gpt":0.218143230678492,"score_spread":0.1628632154904085,"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."}}