{"id":"W4399805025","doi":"10.7554/elife.98522.1","title":"An adaptable, reusable, and light implant for chronic Neuropixels probes","year":2024,"lang":"en","type":"preprint","venue":"eLife","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre","funders":"","keywords":"Implant; Computer science; Medicine; Surgery","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":[0.0005047596,0.0006918128,0.0003738127,0.0004438084,0.0002168835,0.0006174798,0.0009390935,0.0008616302,0.002238319],"category_scores_gemma":[0.0006682831,0.0003880071,0.0004315338,0.000153553,0.0007163276,0.0009582626,0.0008884455,0.0009544693,0.0007180432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004093922,"about_ca_system_score_gemma":0.0005699703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000350002,"about_ca_topic_score_gemma":0.0006921036,"domain_scores_codex":[0.9996542,0.00001660478,0.00003314325,0.00009357846,0.0001504915,0.00005204553],"domain_scores_gemma":[0.9994045,0.0001194407,0.0002107792,0.00009967278,0.00007740989,0.00008809608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007972645,0.00002864877,0.0002109393,0.00008510787,0.000006397698,0.0001223845,0.00003390194,0.0001205869,0.9896169,0.0003630575,0.0003322753,0.009000179],"study_design_scores_gemma":[0.00005406081,0.0009385642,0.004342088,0.0000443744,0.00004840594,0.001405378,0.00002998996,0.002087997,0.9636188,0.0002561167,0.02712029,0.00005394606],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.601243,0.002178952,0.3810345,0.0007329631,0.0009710002,0.0005460434,0.001758669,0.004306579,0.007228193],"genre_scores_gemma":[0.6754896,0.002072786,0.300503,0.0005552743,0.0001626013,0.0008197329,0.001366298,0.001282077,0.01774868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002238319,"threshold_uncertainty_score":0.007487953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06062582941281137,"score_gpt":0.3599621267826975,"score_spread":0.2993362973698861,"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."}}