{"id":"W2989381244","doi":"10.17632/5sw2c38f8w.7","title":"BarkNet 1.0 (Part 4 of 4)","year":2019,"lang":"en","type":"article","venue":"Mendeley Data","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology","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":[0.001016958,0.004245863,0.001354189,0.002695078,0.0008811548,0.002263143,0.004007211,0.002056418,0.1062556],"category_scores_gemma":[0.003801481,0.00180056,0.001445573,0.002238918,0.0004406313,0.003210662,0.001879059,0.002470737,0.08999703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002199857,"about_ca_system_score_gemma":0.001945072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01961351,"about_ca_topic_score_gemma":0.03168002,"domain_scores_codex":[0.99931,0.00005743996,0.00004188629,0.0002223083,0.0002173392,0.0001510171],"domain_scores_gemma":[0.9992614,0.0001230891,0.00003395713,0.0002248921,0.000259626,0.00009693636],"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":[0.0004649541,0.0001898295,0.001004488,0.0005365435,0.0001218736,0.00009310827,0.00004447913,0.005225895,0.003379742,0.001031063,0.9217294,0.06617853],"study_design_scores_gemma":[0.001060641,0.0007058891,0.007070632,0.0004365426,0.0002259543,0.000506844,0.0002102103,0.1851,0.04763838,0.01381703,0.7429876,0.0002404498],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"dataset","genre_scores_codex":[0.02038115,0.002199858,0.02718398,0.0009387542,0.001882317,0.0008302265,0.3495226,0.5611011,0.03595995],"genre_scores_gemma":[0.05035511,0.00111105,0.06622831,0.000865903,0.0002915866,0.001319721,0.8228603,0.02219369,0.03477443],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1062556,"threshold_uncertainty_score":0.3554605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05077604090550824,"score_gpt":0.307446035962682,"score_spread":0.2566699950571737,"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."}}