{"id":"W2027860740","doi":"10.2164/jandrol.05060","title":"The Sperminator Needed a Magic Number","year":2005,"lang":"en","type":"article","venue":"Journal of Andrology","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Population; Dialog box; Sperm bank; Unit (ring theory); Harassment; Political science; Fertility; Law; Medicine; Psychology; Demography; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003703701,0.00005319019,0.0001922245,0.00005164797,0.00005753744,0.000005447112,0.00008351152,0.00007784212,0.0001027363],"category_scores_gemma":[0.0003721277,0.00002756416,0.00006902718,0.0000778451,0.0001403081,0.00004479534,0.0000166085,0.0003253818,0.0000806379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003109784,"about_ca_system_score_gemma":0.00009789856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000289626,"about_ca_topic_score_gemma":0.000001993847,"domain_scores_codex":[0.9993656,0.00002706467,0.0002640962,0.00006562257,0.0001028419,0.0001748042],"domain_scores_gemma":[0.9993891,0.00007255553,0.0001670533,0.0001528774,0.0001504623,0.00006799237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005876084,0.0006996381,0.2183362,0.0001014005,0.0004056085,0.001253126,0.000763533,0.0000104441,0.008801282,0.01385664,0.2453323,0.5045639],"study_design_scores_gemma":[0.00200216,0.00137926,0.04517028,0.0000190768,0.00006804829,0.01926442,0.0003975201,0.00002981606,0.005284778,0.005269938,0.9210518,0.00006291654],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8950001,0.001537382,0.00001812736,0.09611921,0.000257021,0.00006568993,1.696307e-7,0.00001238719,0.006989931],"genre_scores_gemma":[0.9949655,0.0007566428,0.0008366843,0.001676355,0.0006414431,8.066023e-7,1.04649e-7,0.000005155777,0.001117341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6757196,"threshold_uncertainty_score":0.141364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01174076587907471,"score_gpt":0.3229361921546738,"score_spread":0.3111954262755991,"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."}}