{"id":"W6930453182","doi":"10.5281/zenodo.13208538","title":"SmartHemp Drops Australia (AU, NZ, CA): Harness Nature's Intelligence","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Limiting; Work (physics)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004469304,0.0003675758,0.0002872906,0.0004268012,0.0006452327,0.0007963231,0.001440663,0.0003076437,0.0995184],"category_scores_gemma":[0.0004833001,0.0003612142,0.0001126157,0.0004946993,0.0003007748,0.0001047154,0.001383436,0.001157036,0.1501555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001784714,"about_ca_system_score_gemma":0.000006634596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002822118,"about_ca_topic_score_gemma":0.000002908481,"domain_scores_codex":[0.9975972,0.000298121,0.0002997072,0.0008383163,0.0004502905,0.0005163939],"domain_scores_gemma":[0.9987535,0.00002808427,0.0001871012,0.0006169751,0.0002118113,0.0002025376],"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":[0.00006972237,0.00008505476,0.000002609824,0.0003953112,0.0001353706,0.0003428491,0.0005935865,0.000001728246,0.0004392991,0.005654036,0.972864,0.01941642],"study_design_scores_gemma":[0.00009729609,0.0003777517,0.00005869473,0.0005497424,0.00003587552,0.0003644443,0.0002069514,0.00007562766,0.00009079078,0.0005327293,0.9972123,0.0003978242],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001323413,0.0005723921,0.0008350518,0.0001994007,0.0007080892,0.0004131853,0.00086105,0.002668995,0.9924184],"genre_scores_gemma":[0.1838721,0.0001126598,0.0003094182,0.00006028401,0.001118763,9.242518e-8,0.001234306,0.01108042,0.8022119],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1902065,"threshold_uncertainty_score":0.999884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1762854711516908,"score_gpt":0.3863674915541023,"score_spread":0.2100820204024115,"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."}}