{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003262858,0.001117519,0.0006258615,0.0005368924,0.0003432293,0.001556404,0.002524984,0.001383585,0.04468583],"category_scores_gemma":[0.001470302,0.0006212282,0.001199269,0.0005102073,0.0003300561,0.001571649,0.001142755,0.001897893,0.02613874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007843714,"about_ca_system_score_gemma":0.001284641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01065764,"about_ca_topic_score_gemma":0.01181445,"domain_scores_codex":[0.999831,0.00001346264,0.000006039615,0.00006414277,0.00005492049,0.00003038658],"domain_scores_gemma":[0.9997814,0.00004362609,0.00001158902,0.00005205528,0.00009020073,0.00002112541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006377018,0.0001294952,0.003580161,0.0004833835,0.000208712,0.000196314,0.000103855,0.5014503,0.008041975,0.02747037,0.3335112,0.1241865],"study_design_scores_gemma":[0.00003829603,0.00002881581,0.0003499247,0.00002371986,0.00002075432,0.00006767103,0.0000115208,0.948658,0.004406909,0.008510565,0.03786073,0.00002310724],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.02322849,0.001291136,0.7777572,0.001506039,0.001132927,0.0002574722,0.05677404,0.1041578,0.03389483],"genre_scores_gemma":[0.3585074,0.001967225,0.3684104,0.002187457,0.0003545473,0.001691361,0.1217958,0.024787,0.1202988],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.04468583,"threshold_uncertainty_score":0.1494889,"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."}}