{"id":"W7086955513","doi":"10.5281/zenodo.15678603","title":"MERFISH 4T1 Tissue Raw Unaligned Images","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Evolutionary Psychology and Human Behavior","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; Vancouver Coastal Health; University of British Columbia; BC Cancer Agency","funders":"","keywords":"Field (mathematics); Medical imaging; Image resolution; Resolution (logic); Preclinical imaging; High resolution","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":[],"consensus_categories":[],"category_scores_codex":[0.0007181913,0.003316802,0.00166658,0.00262905,0.0008777793,0.001582929,0.002591922,0.002359921,0.02249087],"category_scores_gemma":[0.001868516,0.0006981276,0.001789639,0.002748637,0.0006469289,0.0008266246,0.001709789,0.001564703,0.04503131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001171796,"about_ca_system_score_gemma":0.001532859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01652047,"about_ca_topic_score_gemma":0.03696911,"domain_scores_codex":[0.9990702,0.00006891785,0.0000625567,0.0003660547,0.0002881384,0.0001441926],"domain_scores_gemma":[0.9993448,0.0001067092,0.00005895335,0.0002131715,0.0002070755,0.00006932603],"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":[0.0005742986,0.0002116116,0.00324181,0.002375671,0.0002610733,0.0004203668,0.00005754315,0.002818601,0.01112103,0.0006553172,0.9403258,0.0379369],"study_design_scores_gemma":[0.0004950993,0.0002232288,0.03250381,0.0007178604,0.0002712533,0.0020598,0.0002186045,0.008172377,0.01540268,0.002805226,0.9369553,0.0001747814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005481536,0.001274095,0.001590212,0.0001554193,0.0001388533,0.000105511,0.9849947,0.003468234,0.002791364],"genre_scores_gemma":[0.002430926,0.0001774388,0.001467076,0.00004597848,0.00001097326,0.00008663733,0.9945058,0.000148875,0.001126229],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02249087,"threshold_uncertainty_score":0.07523942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03680440264498831,"score_gpt":0.3311144295201953,"score_spread":0.294310026875207,"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."}}