{"id":"W6930133644","doi":"10.5281/zenodo.11080131","title":"humemai/humemai: v1.0.2","year":2024,"lang":"de","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Humber College","funders":"","keywords":"Process (computing); Identification (biology); Work (physics)","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":[],"category_scores_codex":[0.001899303,0.003445,0.001934374,0.003408795,0.001200298,0.004391377,0.005960213,0.002993133,0.5493377],"category_scores_gemma":[0.007197045,0.002938491,0.002235245,0.003036181,0.0006716682,0.005339848,0.005326417,0.003068553,0.6612361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001477141,"about_ca_system_score_gemma":0.001158228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004593501,"about_ca_topic_score_gemma":0.005939323,"domain_scores_codex":[0.9984451,0.0001400906,0.00009676346,0.0003180028,0.0007535648,0.0002465835],"domain_scores_gemma":[0.9977889,0.0004083301,0.0001132509,0.0007049535,0.0007871415,0.0001974045],"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":[0.0001402583,0.00003840945,0.0002776214,0.0004481636,0.00003038481,0.00002573191,0.00004501802,0.0004508579,0.000818781,0.0009880832,0.980906,0.01583072],"study_design_scores_gemma":[0.0001140669,0.00003130729,0.000815744,0.0001007078,0.00002447549,0.00009087645,0.00002862196,0.001708695,0.005421604,0.003875039,0.9876974,0.00009145409],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0006354833,0.0003359718,0.01872616,0.0003260834,0.0003528588,0.0001523693,0.2080858,0.7304279,0.04095731],"genre_scores_gemma":[0.005944806,0.0003021991,0.01762123,0.0007372964,0.0001426948,0.0005449605,0.33909,0.5936506,0.0419662],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.5493377,"threshold_uncertainty_score":0.642815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03075593266030692,"score_gpt":0.2222054653564521,"score_spread":0.1914495326961451,"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."}}