{"id":"W6968264855","doi":"10.5281/zenodo.13358873","title":"theislab/ssl_in_scg: First Release","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":"Tellabs (Canada)","funders":"","keywords":"Action (physics); Component (thermodynamics); Context (archaeology); Quality (philosophy)","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":[0.006726028,0.003707431,0.001894391,0.004062572,0.002345289,0.01264658,0.005411143,0.004534704,0.6483997],"category_scores_gemma":[0.03761403,0.00336852,0.002207717,0.003508782,0.001763878,0.01030311,0.007660765,0.006767617,0.8333534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003500056,"about_ca_system_score_gemma":0.004026375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0142007,"about_ca_topic_score_gemma":0.01065328,"domain_scores_codex":[0.9937604,0.0009378082,0.0005161033,0.0007217198,0.003213328,0.0008504995],"domain_scores_gemma":[0.9753498,0.002464833,0.0006798413,0.008921566,0.01065318,0.001930823],"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":[0.00006017536,0.00001431489,0.00005943427,0.0001129787,0.000006330931,0.00002130634,0.00003683751,0.00005395876,0.0003161759,0.000631071,0.9890832,0.009604137],"study_design_scores_gemma":[0.00005353969,0.00001489157,0.0001728409,0.00008963175,0.000007287333,0.00004003247,0.00002983282,0.0001848003,0.001202602,0.001127235,0.9970351,0.00004215335],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0005478153,0.0003616677,0.01929279,0.003207333,0.003714002,0.0006539194,0.06660645,0.7560022,0.1496137],"genre_scores_gemma":[0.004490532,0.0004368235,0.009455497,0.003069395,0.0007366355,0.0007528684,0.1083578,0.6141643,0.2585362],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.6483997,"threshold_uncertainty_score":0.5015152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03600840242799095,"score_gpt":0.2558893911842815,"score_spread":0.2198809887562906,"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."}}