{"id":"W6931408742","doi":"10.5281/zenodo.7586898","title":"ljnewediuk/gc-meta: v1.0.0","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Electrical Measurement Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Population; Affect (linguistics); Code (set theory); Identification (biology)","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":[0.007664768,0.002679963,0.006798822,0.005732972,0.0007239898,0.005180035,0.003546193,0.002812118,0.5670127],"category_scores_gemma":[0.08225297,0.002492811,0.008370573,0.009813277,0.0007688195,0.002520441,0.003326746,0.002544761,0.08085472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00147604,"about_ca_system_score_gemma":0.005029583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007558968,"about_ca_topic_score_gemma":0.01466434,"domain_scores_codex":[0.9955029,0.001751098,0.001034843,0.0006423147,0.000745899,0.0003230369],"domain_scores_gemma":[0.9689552,0.02371172,0.00210543,0.003277834,0.001461728,0.0004881595],"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":[0.002716858,0.0000456417,0.001828957,0.1629223,0.008803786,0.000166068,0.0001865221,0.001337043,0.0009924966,0.005408145,0.802254,0.01333834],"study_design_scores_gemma":[0.03595464,0.0007282086,0.01592688,0.0315467,0.02844532,0.001123928,0.0002214772,0.003701875,0.0019198,0.02512449,0.8546879,0.0006188483],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0006831603,0.002483168,0.004361357,0.00086749,0.0007522966,0.001978092,0.9768837,0.006391357,0.005599367],"genre_scores_gemma":[0.05447201,0.009067083,0.07597966,0.008031963,0.001781642,0.08450509,0.6577423,0.0396346,0.06878574],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.5670127,"threshold_uncertainty_score":0.6176039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05159484162775214,"score_gpt":0.2499972938087745,"score_spread":0.1984024521810224,"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."}}