{"id":"W6892997229","doi":"10.5281/zenodo.13830373","title":"neuropoly/phantom-spinoza: v5.1","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Identification (biology); Process (computing); Product (mathematics); 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":[0.002205228,0.002569078,0.001586457,0.002822571,0.001206764,0.005770787,0.005317388,0.003669752,0.6034884],"category_scores_gemma":[0.004503649,0.00184933,0.001514123,0.002462263,0.0009013171,0.003894623,0.00398119,0.003018958,0.617552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002498327,"about_ca_system_score_gemma":0.002106387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0127421,"about_ca_topic_score_gemma":0.01337362,"domain_scores_codex":[0.9988404,0.0001458762,0.00008076737,0.0001072566,0.000642781,0.0001830407],"domain_scores_gemma":[0.997574,0.0004516785,0.0001465797,0.0005966283,0.0008174073,0.0004135469],"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":[0.0001419896,0.00002642976,0.00007267598,0.0002138548,0.000009594578,0.00003346672,0.00001949669,0.0004486418,0.0005296195,0.003724756,0.9726124,0.02216708],"study_design_scores_gemma":[0.00007446553,0.00002185034,0.0001590649,0.00008462451,0.000008014124,0.0000774754,0.00000898519,0.0005585964,0.001213748,0.003454518,0.9943089,0.00002959843],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"software","genre_scores_codex":[0.000888594,0.00203682,0.03848651,0.003006526,0.002527026,0.0004410154,0.2409306,0.1394997,0.5721833],"genre_scores_gemma":[0.005916114,0.002183189,0.02495227,0.002253567,0.0008673654,0.0007793409,0.3477607,0.1165038,0.4987837],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.6034884,"threshold_uncertainty_score":0.5655757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03557368168082442,"score_gpt":0.2674912835043035,"score_spread":0.231917601823479,"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."}}