{"id":"W4386380994","doi":"10.1002/mrd.23703","title":"Issue Information","year":2023,"lang":"en","type":"paratext","venue":"Molecular Reproduction and Development","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, San Diego; University of Toronto; Centre National de la Recherche Scientifique; Chinese Academy of Sciences; Université Laval; University of Washington; University of Missouri; Utah State University","keywords":"Reproduction; Biology; Citation; Control (management); Library science; Computer science; Genetics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001730594,0.001103156,0.001203086,0.003142324,0.002310874,0.01190545,0.001645052,0.00292914,0.7866454],"category_scores_gemma":[0.0101751,0.0005022422,0.0006849242,0.0034618,0.0007450269,0.005396126,0.002346185,0.002503576,0.6685375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00154343,"about_ca_system_score_gemma":0.002950734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00133986,"about_ca_topic_score_gemma":0.002547474,"domain_scores_codex":[0.9984004,0.0001714558,0.0001162185,0.0001941372,0.0009587695,0.0001589897],"domain_scores_gemma":[0.9928219,0.001176344,0.0003212968,0.0006041841,0.00299638,0.002079883],"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":[0.0000112128,0.00001663279,0.00003682615,0.00008837969,8.490326e-7,0.00001641518,0.000009944725,0.0000139926,0.00006002495,0.0009441238,0.9826455,0.01615612],"study_design_scores_gemma":[0.000004832827,0.00000833564,0.0001654557,0.00005185769,8.229948e-7,0.00001799566,0.00001904827,0.00002503574,0.00004171407,0.0004558433,0.9992059,0.000003177395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003106037,0.001177923,0.0006920176,0.01196522,0.07945029,0.0003290868,0.008459562,0.001365706,0.8962497],"genre_scores_gemma":[0.001382339,0.0008263841,0.0003347749,0.003842601,0.01332996,0.00008503847,0.00408807,0.0006914229,0.9754194],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2133546,"threshold_uncertainty_score":0.3043245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01816804865911511,"score_gpt":0.2299141537875549,"score_spread":0.2117461051284397,"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."}}