{"id":"W4394410953","doi":"10.6084/m9.figshare.15015696","title":"Equine-BB-EALE-16","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Business","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":[],"consensus_categories":[],"category_scores_codex":[0.001150759,0.003941692,0.002165735,0.004675907,0.0009612642,0.002361555,0.002736537,0.004933381,0.1041981],"category_scores_gemma":[0.007331897,0.0008292387,0.00266812,0.00451051,0.0006706064,0.001282845,0.001887258,0.001708983,0.1007473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001311344,"about_ca_system_score_gemma":0.00226819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02047234,"about_ca_topic_score_gemma":0.0336229,"domain_scores_codex":[0.9988451,0.0002201105,0.0001200852,0.0003862912,0.0002451259,0.0001831796],"domain_scores_gemma":[0.9976046,0.001181053,0.0002111494,0.0003767761,0.0003846262,0.0002417768],"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":[0.0003202226,0.00007048922,0.0009970262,0.003152376,0.0001231796,0.00005260648,0.00003051882,0.0009360829,0.0002931292,0.0003809996,0.9883736,0.005269857],"study_design_scores_gemma":[0.001308955,0.00011493,0.00540152,0.001346345,0.0002769349,0.0002033063,0.00009916547,0.001920695,0.0009911881,0.002370828,0.9858651,0.0001009755],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002760533,0.0003737356,0.0000955361,0.00008428588,0.0000384815,0.00002107609,0.9978661,0.0005032645,0.0007415305],"genre_scores_gemma":[0.0007453051,0.0001972862,0.0004529361,0.0001247762,0.00001172811,0.0001095115,0.9973876,0.0001113768,0.0008594909],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1041981,"threshold_uncertainty_score":0.3485774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.048140574665022,"score_gpt":0.3054051146590072,"score_spread":0.2572645399939852,"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."}}