{"id":"W3130432161","doi":"10.5281/zenodo.4072941","title":"Pix2Prof pytorch model","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University; Royal Society; Government of Ontario","keywords":"Closed captioning; Computer science; Galaxy; Artificial intelligence; Natural language; Image (mathematics); Physics; Astrophysics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000264445,0.0001100834,0.0001126989,0.00008488232,0.0009313464,0.0006368216,0.001950492,0.00004065019,0.0006958086],"category_scores_gemma":[0.0004284123,0.0001132948,0.00004396393,0.0006638345,0.00007126244,0.0007249888,0.001888033,0.0002298525,0.00307738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005375899,"about_ca_system_score_gemma":0.000003938816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001408687,"about_ca_topic_score_gemma":8.734508e-9,"domain_scores_codex":[0.9986869,0.0001079664,0.0001740046,0.000434833,0.0003133767,0.0002828983],"domain_scores_gemma":[0.9989149,0.00001180963,0.00006206293,0.0004473813,0.000353853,0.000209996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004424546,0.00009002985,9.329635e-7,0.00005199464,0.00001676702,0.00002988297,0.002266865,0.0004297741,0.03077403,0.06694737,0.3233055,0.5760426],"study_design_scores_gemma":[0.0002457596,0.0002681015,0.00002424268,0.00001070005,0.000003258956,0.00002887461,0.0000320131,0.07731388,0.01600951,0.002967412,0.9028993,0.0001969532],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003201273,0.00005637707,0.9520541,0.002537532,0.000022274,0.0002122585,0.00002517451,0.002327694,0.04244442],"genre_scores_gemma":[0.9035277,0.0002300208,0.08940686,0.003690101,0.0002646763,6.034653e-8,0.0003008953,0.001582243,0.0009974834],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9032075,"threshold_uncertainty_score":0.9976988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06958362706699377,"score_gpt":0.2768904336841574,"score_spread":0.2073068066171637,"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."}}