{"id":"W4391270030","doi":"10.3791/65906-v","title":"JoVE Video Dataset","year":2024,"lang":"pt","type":"article","venue":"","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; University of British Columbia","funders":"","keywords":"Computer science; Computer graphics (images)","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":["insufficient_payload"],"category_scores_codex":[0.0005121151,0.001896015,0.001357074,0.002916169,0.0009144821,0.002569456,0.002432567,0.002115912,0.5164994],"category_scores_gemma":[0.00422874,0.0004088084,0.001038823,0.003103654,0.0002836309,0.002162918,0.002507588,0.001318432,0.3496077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001035612,"about_ca_system_score_gemma":0.00162032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01656529,"about_ca_topic_score_gemma":0.04886452,"domain_scores_codex":[0.9995728,0.00005109701,0.00003185425,0.0001390533,0.000137549,0.00006771016],"domain_scores_gemma":[0.9987532,0.0003655656,0.00007406136,0.0001764237,0.0004042474,0.0002265234],"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":[0.0000722568,0.00001958338,0.0002547253,0.0005773568,0.00001118856,0.00003259348,0.00001892119,0.0001401186,0.0001867013,0.0003291492,0.9859687,0.0123888],"study_design_scores_gemma":[0.00007205128,0.00002789513,0.001357759,0.0002954322,0.00001908472,0.00009252873,0.00007633065,0.0007349917,0.0005236561,0.001986599,0.9947802,0.00003352674],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003562837,0.0004346218,0.001087241,0.0003374637,0.0002719031,0.0001216557,0.972119,0.006191648,0.0190803],"genre_scores_gemma":[0.002420789,0.0006473643,0.005298284,0.0004823335,0.00008901314,0.0005015759,0.9672549,0.001919336,0.02138644],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4835006,"threshold_uncertainty_score":0.6896549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0149446875375064,"score_gpt":0.2818962950700275,"score_spread":0.2669516075325211,"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."}}