{"id":"W4323349238","doi":"10.17504/protocols.io.36wgq7ddxvk5/v7","title":"Getting started with Micro-Meta App Tutorial v2","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Metadata; Computer science; Context (archaeology); Interoperability; Protocol (science); World Wide Web; Software; Multimedia; Data science; Medicine","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":[0.001010726,0.002183779,0.0009494762,0.001299403,0.0006387788,0.002266295,0.002131767,0.001945444,0.3991607],"category_scores_gemma":[0.0056164,0.001148968,0.001118229,0.000518555,0.0003004344,0.003101915,0.002733681,0.00200543,0.2657187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006937516,"about_ca_system_score_gemma":0.001139601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001907418,"about_ca_topic_score_gemma":0.004363795,"domain_scores_codex":[0.9994624,0.00006824156,0.00003209258,0.00009272916,0.0002510878,0.00009357738],"domain_scores_gemma":[0.9979266,0.0009433398,0.00006812578,0.0002377223,0.0005620613,0.000262084],"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":[0.0001424294,0.00006383894,0.0002202688,0.0005570423,0.00001188761,0.0001698816,0.0001679153,0.0001411399,0.003179728,0.001717158,0.9323781,0.06125051],"study_design_scores_gemma":[0.00009619497,0.00007829633,0.001522354,0.0004147835,0.00001879377,0.0004510054,0.0001150322,0.001239588,0.006388182,0.005014058,0.9845825,0.00007923134],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.005183752,0.002045031,0.1777034,0.003059401,0.003835002,0.003732428,0.080931,0.4874887,0.2360212],"genre_scores_gemma":[0.02007232,0.002501196,0.198265,0.00855076,0.001427919,0.011295,0.1009271,0.1937174,0.4632433],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.3991607,"threshold_uncertainty_score":0.8570243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01815076156343798,"score_gpt":0.2736731545360814,"score_spread":0.2555223929726434,"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."}}