{"id":"W7034395941","doi":"","title":"$TMET.V Unlocking the Riches: Torr Metals Inc. (TSX.V: TMET) Aims to Test Untapped Copper and Gold Potential in British Columbia and Ontario, Canada","year":2024,"lang":"en","type":"other","venue":"","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Copper; Torr; Test (biology); Base metal","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001199631,0.0002863113,0.0004764328,0.0000967719,0.00004332743,0.0006107937,0.0002235347,0.0002143842,0.002843935],"category_scores_gemma":[0.00002705192,0.0003175966,0.00003922767,0.0002147976,0.00003839578,0.00004230087,0.0001552485,0.0004163311,0.00002594612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000275913,"about_ca_system_score_gemma":0.0001483446,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9978713,"about_ca_topic_score_gemma":0.9999539,"domain_scores_codex":[0.9985256,0.00002389786,0.0003235645,0.0004777564,0.0002620025,0.0003872339],"domain_scores_gemma":[0.9994449,0.00005672923,0.00003349503,0.0002896424,0.0000203779,0.0001548387],"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":[9.918194e-7,0.00001505843,0.002269956,0.0002044607,0.0001858889,0.0002361323,0.0001983657,0.0009428558,0.00006169186,0.0000206303,0.9902511,0.00561284],"study_design_scores_gemma":[0.0002388815,0.00006219895,0.004731368,0.0007560105,0.0001683564,0.0001272032,0.0004157123,0.003396499,0.00003781333,0.000089522,0.9889464,0.001029996],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1436701,0.04986583,0.003678229,0.0005462332,0.006282828,0.005051323,0.0009437857,0.001286683,0.788675],"genre_scores_gemma":[0.329995,0.0006146954,0.0006291599,0.0003931297,0.0001900375,0.00006290704,0.00002515046,0.0004380892,0.6676519],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1863248,"threshold_uncertainty_score":0.9999276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00543494274473917,"score_gpt":0.1792172048894978,"score_spread":0.1737822621447586,"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."}}