{"id":"W7055470182","doi":"","title":"Crossroads & Connections: 2024 Tracking Oregon's Progress Report","year":2024,"lang":"en","type":"report","venue":"Issue Lab (Candid)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thriving; Workforce; Tracking (education); Feeling; Quarter (Canadian coin); Work (physics); State (computer science); Timeline","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001952629,0.0008891078,0.0002829951,0.002902092,0.002866262,0.005207614,0.001258659,0.002453013,0.2381943],"category_scores_gemma":[0.005032197,0.0006074996,0.0004325193,0.002455204,0.0003469004,0.003003339,0.003183153,0.002460393,0.1162355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002856364,"about_ca_system_score_gemma":0.01508673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09348986,"about_ca_topic_score_gemma":0.1280765,"domain_scores_codex":[0.9978172,0.00009015659,0.00009847729,0.0001378615,0.001463276,0.0003929634],"domain_scores_gemma":[0.9957265,0.0002911053,0.0002884718,0.0002838024,0.002295399,0.001114781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00001559,0.00007713156,0.00148632,0.00003611335,0.000002047211,0.00004179971,0.0000289012,0.00003544745,0.00009465826,0.0009783269,0.9824297,0.01477393],"study_design_scores_gemma":[0.000009368484,0.0000162872,0.004890011,0.00007071126,0.000003019868,0.00002155657,0.000193627,0.00007796992,0.0002106959,0.000198195,0.9942983,0.00001025338],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005112143,0.0006775975,0.000810975,0.0195639,0.004709968,0.0009190234,0.1264026,0.001666951,0.8401368],"genre_scores_gemma":[0.008893128,0.001268254,0.001512631,0.002712751,0.000551489,0.001103336,0.07794792,0.000581905,0.9054285],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2381943,"threshold_uncertainty_score":0.7968394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03622808599147532,"score_gpt":0.3620352590165003,"score_spread":0.325807173025025,"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."}}