{"id":"W7052472007","doi":"","title":"A semi-supervised deep learning solution to cell registration in video data from calcium imaging studies","year":2023,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Deep learning; Image registration; Pattern recognition (psychology); Medical imaging; Calcium imaging","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":[0.002452492,0.001191211,0.001473816,0.00114403,0.0007481645,0.001097115,0.00306571,0.002092868,0.001510993],"category_scores_gemma":[0.003557496,0.000857597,0.001855405,0.001798414,0.001055982,0.001287544,0.002375903,0.003031355,0.000990624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001324456,"about_ca_system_score_gemma":0.002467734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009925081,"about_ca_topic_score_gemma":0.01599475,"domain_scores_codex":[0.998849,0.0002047157,0.00007687636,0.0004866011,0.0002395497,0.0001431799],"domain_scores_gemma":[0.9984791,0.0004150617,0.000204841,0.0003724671,0.0004443331,0.00008428041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002976437,0.0002751222,0.002342921,0.0001941941,0.0002252154,0.000226648,0.0002928733,0.2843657,0.01607603,0.006141687,0.01322144,0.6763406],"study_design_scores_gemma":[0.00001656539,0.00005277126,0.0004713433,0.00001199076,0.00001691586,0.0000522361,0.00003058471,0.9899068,0.003001122,0.004518859,0.0019083,0.00001255984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02319472,0.000333509,0.9719107,0.0003157236,0.00008562826,0.0001281912,0.000477378,0.002823991,0.0007301936],"genre_scores_gemma":[0.195979,0.0003085662,0.7907944,0.000389108,0.0001835706,0.0004041471,0.004866802,0.0004362568,0.006638092],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009925081,"threshold_uncertainty_score":0.01973462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0524691396619312,"score_gpt":0.3189689496550659,"score_spread":0.2664998099931347,"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."}}