{"id":"W6948508312","doi":"10.5064/f6buax58/6y4ky5","title":"Burke_EDI_NENA.ON002.ResearcherSurvey.2017.09.22.pdf","year":2023,"lang":"en","type":"dataset","venue":"Syracuse University Qualitative Data Repository","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":"Identifier; Survey data collection; Plan (archaeology); Survey methodology; Identification (biology); Scale (ratio); Data collection","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":[0.009317963,0.0009608132,0.001064757,0.002772121,0.001364854,0.004195043,0.001562441,0.0009939109,0.7721832],"category_scores_gemma":[0.03175815,0.0008825042,0.0004896974,0.003965849,0.0006297019,0.003235351,0.004382854,0.001381342,0.5909593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001513188,"about_ca_system_score_gemma":0.00308232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006915572,"about_ca_topic_score_gemma":0.009010656,"domain_scores_codex":[0.9952477,0.002480891,0.0002707386,0.0003829024,0.001169123,0.0004487509],"domain_scores_gemma":[0.9772549,0.008539263,0.0009492346,0.00445308,0.007136866,0.001666709],"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":[0.00009466559,0.0001137767,0.0009598355,0.000411939,0.000007305133,0.000017611,0.0005102335,0.00002426664,0.0001073757,0.001904495,0.9113614,0.0844871],"study_design_scores_gemma":[0.00003645586,0.00004264696,0.00355269,0.0005237784,0.000004200042,0.0000204359,0.0007057,0.00007615021,0.0002688559,0.001032736,0.9937186,0.0000176571],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.00461175,0.0008214909,0.006262285,0.004457929,0.001450773,0.004028244,0.2482862,0.01678116,0.7133003],"genre_scores_gemma":[0.04848658,0.002840219,0.0174079,0.00497379,0.0005614998,0.0281096,0.1730444,0.01461213,0.7099639],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.7721832,"threshold_uncertainty_score":0.324953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06985253143984284,"score_gpt":0.3814285380076595,"score_spread":0.3115760065678166,"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."}}